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ROI of Social Customer Service: How to Calculate It and Create a Strong Business Case

ROI of Social Customer Service: How to Calculate It and Create a Strong Business Case

The phrase “customer service is the new marketing” has gained popularity with brands realizing that poor customer service takes current, and even potential customers, out of the marketing funnel. Why? If a customer doesn’t get the help she needs, she often will not remain loyal – or worse, she will take to social media and tarnish the brand. Think about it. If a consumer’s flight gets delayed or she receives terrible food brought to the table, she might post on Twitter, Facebook, Instagram, Snapchat, and Yelp within minutes of the incident. From one mistake, a company’s reputation can be smeared all over the internet. The report goes into a lot of detail so it’s clear how to calculate the ROI of social customer service:

Economic Imperative of The ROI of Social Customer Service

Many brands have experienced incidents where not taking care of an issue turned into a social media nightmare. These include brands like Domino’s Pizza[i], the Red Cross[ii], McDonald’s[iii], and Cisco and extends to people’s personal brands such as comedian Gilbert Gottfried[iv] and hockey player Tyler Sequin.[v]

Customer care extends far beyond the traditional call center. Every touch point or interaction with the company (or even content about the company) can affect the customer’s satisfaction and loyalty to the brand. While it’s not always a positive experience, brands need to hear opinions expressed online to enable them to create the necessary corrections, drive strategy, and improve operations for making great customer experiences.

To gain buy-in for this type of interaction in a social customer service program, executives need to show senior leaders a viable business case. Once everyone is on board, it’s time to create some baseline metrics and goals and then determine what the ROI needs to be based on the program qualifications being set in place. The components of a business case include:

  • Goals and objectives for the social customer care initiative
  • A strategy to meet the social customer care goals and objectives
  • Metrics/Key Performance Indicators (KPIs) to measure the goals and objectives
  • The business results (cost savings or revenue generation) or the return on investment (ROI) for the social customer care initiative.

How to Calculate Social Customer Care ROI

Constellation often hears comments such as “the ROI of social media can’t be calculated because there are too many unknowns” or “don’t worry about the ROI – social media is very tactical – just start doing it – get a Twitter handle, a Facebook page, a Pinterest account.” Some people may quote metrics and/or KPIs, but few know how to convert them into ROI.

An ROI calculation offers a way to put the business strategy and metrics into a formula to show, in numbers, how the strategy is, for instance, increasing revenue or decreasing costs. ROI calculations can also provide perspective on the potential strengths or weaknesses of the strategy. Examples in this report will show how correctly calculating ROI will help in the evaluation and improvement of your strategies. The formula to calculate ROI is:


Return on Investment = (Gains from Investment) – (Costs of Investment) x 100

Costs of Investment

Calculating the ROI of social media involves three variables:

  • Traditional customer care business metrics
  • Social media metrics
  • Changes to traditional business processes and metrics when social media is applied to a business initiative.

Here’s an Example: Social Customer Care Increases Revenue and Customer Lifetime Value

An international airline that services over 280 destinations worldwide uses a social media tool for monitoring all its social channels, engaging back with its online communities, doing in-depth reporting, and tracking KPI metrics and agent performance. Most importantly, the platform the airline uses supports its global consumer base, enabling the airline to monitor the 30,000 social mentions received in more than nine languages each month.

A company’s revenue is based on the number of customers and the average purchase value in a period of time. When companies use a social media platform, they can increase their revenue from existing customers. By engaging and listening, they can retain them as customers and increase the amount and frequency of purchases over a longer period of time. When the company is truly listening and integrating the feedback, like the airline above, it will be able to meet the needs of the customer and increase not only the amount that the customer spends, but also the number of years the customer spends with that company.

Calculating Costs

To calculate costs, we look at the cost of the technology and implementation (see Figure 1). Then we also look at the cost of the employees or customer service professionals providing the social customer care. The payroll costs include the expenses of a manager part-time as well as the cost of 10 part-time customer service agents with 40 percent of their time spent on social customer care and 50 full-time customer care social media professionals. The total of the costs for both technology ($30,000) and payroll ($2,720,400) is $2,750,400.

Figure 1. Airline Example of Customer Social Media Cost CalculationCost of Social Customer Care

Calculating Gains

The benefit calculation is created by determining the extra revenue generated from more loyal customers who spend more with the airline. The annual number of customers or passengers per year is 22,000,000 with an average spend per customer of $250. With the increased responsiveness and better social customer service, we estimate that 10 percent of the customers will spend 10 percent more per year. The ROI is calculated by taking the $55,000,000 minus $2,750,400 x 100 divided by $2,750,400. This total increase in revenue is approximately $55,000,000 (see Figure 2), and the ROI is 1899 percent. This means that the airline made $18.99 for every dollar that it invested in social customer care.

Figure 2. Airline Example of Customer Social Media Gain Calculation

Screen Shot 2016-09-01 at 11.55.17 AM

In the report, we go over many different examples of how companies have calculated ROI. Though there are nearly dozens of ways that social adds to the value of not only Customer Service, Marketing, Product Innovation, Supply Chain, ERP as well as Internal Operations – like acquiring recruiting and retaining top talent. If you want more help on these types of calculations, we are here to help!

@DrNatalie, VP and Principal Analyst, Constellation Research

Covering Customer-Facing Applications and how Social, IOT, Machine Learning and AI Transform Customer Experience

[i] “Managing Bad News in Social Media: A Case Study on Domino’s Pizza Crisis”, Jaram Park, Meeyoung Cha, Hoh Kim, Jaeseung Jeong, Graduate School of Culture Technology, KAIST, from Proceedings of the Sixth International AAAI Conference on Weblogs and Social Media, 2012, https://www.aaai.org/ocs/index.php/ICWSM/ICWSM12/paper/download/4672/4994?.

[ii] “Red Cross Does PR Disaster Recovery on Rogue Tweet”, Todd Wasserman, Mashable, February 16, 2011,http://mashable.com/2011/02/16/red-cross-tweet/#q0MtRnonuSqN

[iii] “#McDStories: When a Hashtag Becomes a Bashtag”, Kashmir Hill, Forbes, January 24, 2012, http://www.forbes.com/sites/kashmirhill/2012/01/24/mcdstories-when-a-hashtag-becomes-a-bashtag/#2b511f55193f

[iv] “Gilbert Gottfried Fired as Aflac Duck after Japanese Tsunami Tweets”, Huffington Post, March 14, 2011, http://www.huffingtonpost.com/2011/03/14/gilbert-gottfried-fired-aflac_n_835692.html.

[v] “Tyler Seguin’s Account Tweets ‘Only Steers and Queers in Texas’; New Stars Center Says He Was Hacked”, SportsDay, July 2013, http://sportsday.dallasnews.com/dallas-stars/starsheadlines/2013/07/07/tyler-seguin-s-account-tweets-only-steers-and-queers-in-texas-new-stars-center-say-he-was-hacked.

 

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Marketing Transformation Marketing B2B B2C CX Customer Experience EX Employee Experience AI ML Generative AI Analytics Automation Cloud Digital Transformation Disruptive Technology Growth eCommerce Enterprise Software Next Gen Apps Social Customer Service Content Management Collaboration Chief Marketing Officer

Hewlett Packard Enterprise Powers Machine Learning Apps, Revs Vertica Database

Hewlett Packard Enterprise Powers Machine Learning Apps, Revs Vertica Database

HPE streamlines use of machine learning services with Haven OnDemand Combinations. Vertica release improves performance, adds Hadoop and Spark support.

Hewlett Packard Enterprise announced August 30 at its HPE Big Data Conference in Boston that it’s making its library of machine learning services easier for developers to build into smart, “cognitive” applications through Haven OnDemand Combinations. In a second announcement at the event, HPE unveiled Vertica 8.0, the next release of the company’s high-scale analytical database.

Haven OnDemand is in the white-hot category of machine learning services. (The category is sometimes pegged as cognitive or artificial intelligence technology, but Constellation Research views machine learning as a more accurate description of current capabilities.) It’s a domain that has seen dozens of acquisitions in recent years, led by leading tech companies including Amazon, Google, IBM, Intel, Microsoft and Salesforce.

Hewlett Packard Enterprise Powers Cognitive Apps from Constellation Research on Vimeo.

Derived largely from the Autonomy IDOL portfolio, Haven OnDemand now includes more than 70 APIs in categories including text analysis, image analysis, audio and video analysis, prediction and search. By comparison IBM has roughly 30 APIs and Watson Cognitive Services while Microsoft has more than 20 Cognitive Services APIs.

How will HPE differentiate Haven OnDemand as the big public cloud companies deepen their portfolios? Haven OnDemand Combinations is an early effort to do just that by enabling developers to bring together multiple APIs in composite services that can be saved and reused for fast development.

HPE has introduced a few pre-built Combinations of its own, including call archiving and language-agnostic sentiment analysis. But these Combinations aren’t products so much as starting points meant to be adapted by customers. The essence of Combinations is giving developers the ability to tie together multiple APIs, using a drag-and-drop design interface. From thereon, developers can quickly invoke the Combinations through a single API with minimal coding.

Haven OnDemand runs on Microsoft Azure, but it’s REST-based APIs can be invoked in any services-enabled environment, including Amazon Web Services or hybrid and private clouds. Haven OnDemand services originated on HP Helion, but the services were relaunched on Azure after the Helion public cloud was shuttered in 2015.

The availability of machine learning services on Amazon, Azure, Google and IBM clouds is clearly a threat to Haven OnDemand. But in an onstage interview at this week’s conference, Microsoft executive Mike Schutz said the first priority for Azure is providing quickly deployable and scalable infrastructure services and compute capacity. Schutz described Haven OnDemand as a “higher-level solution.”

HPE executives say Haven OnDemand has a head start on delivering machine learning services and stressed that they’re already in production use among “hundreds of thousands of users.” The Haven OnDemand community has some 18,000 developers and the APIs are getting “millions of calls” per month, they said. HPE also noted that Haven OnDemand covers essentials for developing secure applications such as role-based permissions for access to data.

Haven OnDemand Combinations gives developers the ability to chain together APIs and
associated data pipelines and invoke them through a single API call.

MyPOV: There’s no doubt that competition from the big public clouds will present perception and performance challenges to Haven OnDemand over the long haul. For starters there’s the one-stop-shop appeal of using development services and machine learning services from one and the same cloud. Even in the case of Azure, Haven OnDemand is a stand-alone site (HavenOnDemand.com) rather than a library of APIs that’s exposed within the Azure Cloud.

On performance, it will be challenged when high-scale used in an app is in one cloud, say Amazon Web Services, while Haven OnDemand Services run on Azure. HPE execs said the Haven OnDemand APIs typically work with indexes and result sets of data that are a shadow of the size of the original data, minimizing performance and storage penalties, but data movement at high scale can’t help but tax performance.

In short, HPE’s competitive advantage will hinge on just how aggressively and successfully HPE and its biggest rivals pursue machine learning services and support for building smart applications.

Vertica 8.0 Bolsters Hadoop, In-Database Analytics and Cloud Support

HPE’s Vertica analytic database is a popular choice for high-scale data mart deployments, data warehouse optimization scenarios and in embedded, OEM use by software and services companies, such as current customers Domo, GoodData and Looker.

The Vertica 8.0 release announced at HPE’s Big Data Conference is due out by the end of October, and it promises better performance as well as extended support for Hadoop, in-database analytics and cloud deployment. Vertica 8.0 is said to deliver faster data loading, simplified data loading from Amazon S3, and comprehensive visual monitoring of Apache Kafka data streams.

HPE is bolstering Vertica compatibility with Hadoop with support for the Parquet file format. Parquet is widely used on Cloudera deployments. Last year Vertica gained support for ORC, a file format often used in Hortonworks, so HPE is rounding out its ability to work with leading Hadoop distributions.

On the in-database front, Vertica 8.0 gains R-based machine learning algorithms that will enable data scientists to model against vast data sets relying on the power of Vertica’s massively parallel processing (and thus avoiding moving data to analytic servers or relying on sampling techniques). The upgrade also adds a two-way connector for Apache Spark so data scientists can rely on machine learning algorithms in Spark or port high-scale queries that might choke the memory space from Spark to Vertica.

Vertica was already certified to run on Amazon Web Services, but the 8.0 release adds support for deployment on Microsoft Azure. On either cloud it’s a bring-your-own-license (BYOL) approach, but you can spin up the Vertica Community Edition from the Microsoft Azure Marketplace.

MyPOV on Vertica

As with Hadoop, as-a-service offerings seems to be the hottest database deployment choice of late, but HPE insists that its customers prefer to manage their own deployments BYOL style. The company took a stab at database as a service with Vertica OnDemand on Helion, but unlike competitors like Teradata and Oracle, it has since eschewed providing managed services.

Certification on Azure is a good step and I won’t be surprised to see deeper ties with Microsoft and perhaps more cloud deployment options alongside Haven OnDemand services. HPE and Microsoft have many joint customers and partners, and it’s exactly those constituents it appealed to in a keynote slide with the simple headline, “Our platform, your vision.” It’s about putting Haven OnDemand and Vertica inside customer and partner apps, and that story only gets stronger when there are plenty of flexible deployment options.


Media Name: HPE Haven OnDemand Combinations.jpg
Data to Decisions Tech Optimization Chief Information Officer Chief Digital Officer

Genesys Acquires Interactive Intelligence- Good Move for Both Companies

Genesys Acquires Interactive Intelligence- Good Move for Both Companies

Genesys (www.genesys.com), a customer experience, omnichannel and contact center solution and Interactive Intelligence Group Inc. (www.inin.com), a customer engagement and global leader of cloud and on-premise solutions for  communications and collaboration, are entering into a definitive agreement. In this agreement  Genesys will acquire Interactive Intelligence in a transaction valued at approximately $1.4 billion.

How Will This Affect You and Your Customers?

The transaction will accelerate Genesys’ mission of powering customer experiences at scale, anytime, anywhere – over any channel and device, in the cloud and on-premise. Both Genesys and Interactive Intelligence have developed best-in-class capabilities with highly complementary product portfolios that serve adjacent market segments. So together, the combined company will provide a broad customer experience solutions globally for organizations of all sizes across a range of industries.

If you are wondering about their commitment to accelerate innovation and R&D,  Genesys has explained they are committed to accelerate innovation in the customer experience market, with more than $1.3 billion in revenue and annual R&D spend approaching $200 million.
Notes From The Executives

Paul Segre, Chief Executive Officer, Genesys offered, “This is a milestone transaction that combines industry-leading expertise and capabilities to enable lasting customer relationships, accelerate innovation and drive growth. Our combined product portfolio will provide the broadest set of transformative customer experience solutions optimized for customers of all sizes and sophistication levels, available both in the cloud and on-premise. We will significantly invest across the entire Interactive Intelligence product portfolio to support the continued momentum of PureCloud®, Cloud Communications-as-a-Service? (CaaS) and Customer Interaction Center™ (CIC), in addition to the rich portfolio of products offered by Genesys today. We are excited to work with the Interactive Intelligence team to deliver even greater innovation and value to our global customers and partners.
Dr. Don Brown, Chairman, President and Chief Executive Officer, Interactive Intelligence explained their position by saying, “We have been working for the past 22 years to build an outstanding company with innovative, disruptive technology solutions that transform businesses. I am confident that our agreement with Genesys, which follows a careful evaluation of strategic alternatives, provides Interactive Intelligence shareholders with immediate and significant value, and will deliver meaningful benefits to our customers, partners and employees. The combination of Genesys and Interactive Intelligence provides a complete portfolio to address all market segments by combining Interactive Intelligence’s PureCloud, Cloud Communications-as-a-Service (CaaS), and Customer Interaction Center (CIC) with Genesys’ offerings. I am excited for the combined company to continue to grow and meet the needs of organizations around the world.

What Does This Mean to You

Customer experience here to stay. It is the one competitive differentiator that a brand can’t ignore. Customers either have a great experience, over many touch points over the time they spend with a brand or they don’t. If they don’t, often don’t return. The question is what solution(s) will your brand use to affect their experience of doing business with your brand? Many choices for sure.

@drnatalie petouhoff,
VP and Principal Analyst, Constellation Research

Covering Customer Experience

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Next-Generation Customer Experience Chief Customer Officer

New Journeys in Product Development with the Qantas Hackathon

New Journeys in Product Development with the Qantas Hackathon

1
For the last two years, Disruptor’s Handbook have been working with Qantas to create an innovation program that brings the power, agility and speed of the startups into their customer journeys. With a focus on customer experience, these weekend intensives, known as the Codeshare Hackathons, expose Qantas business challenges to the scrutiny – and creativity – of the hackers, hipsters and hustlers of the startup world.

It’s a form of open innovation that we’ve developed specifically to deliver new product opportunities rapidly and at scale. This approach takes a leaf out of the startup book (should I say the Startup Bible), Lean Startup by Eric Ries – focusing however, not on product-market fit but on market-product fit. That means that we help our corporate clients focus on the business challenges they face, coach them through a process of articulation, reverse pitching and presentation, and then open the challenges to startups, students and entrepreneurs.

Then, in a matter of days, we all collaboratively develop working prototypes – what is known as an MVP (a minimum viable product) – to the stated challenges. I call it “marketing-led innovation”.

The secret sauce of corporate hackathons

To the outside world, hackathons are like a cauldron of mystery. We throw in some ingredients, mix them up, and emerge some time later with a magic solution. Somewhere in the middle of the process, a secret sauce is added. But this is anything like Colonel Sanders’ secret recipe. You see, it’s all about process and people.

Over the last couple of years, we have been building out a process that reduces the risk of innovation. We use systems and design thinking approaches, add a dash of lean startup, good old fashioned project and event management and highly targeted coaching and mentoring. We consult with clients, manage stakeholder expectations and do so within what is a relatively controlled and safe environment.

And the results are stunning. New products. New collaborations. New businesses and startups. In many ways, it’s marketing in action. And we’ve got more planned. Get involved, you’ll be amazed at how tasty the secret sauce really is.

Marketing Transformation Chief Marketing Officer

O.C. Tanner has software and wants to build more of it

O.C. Tanner has software and wants to build more of it

Event report: I had the opportunity to attend O.C. Tanner’s first analyst summit held in Salt Lake City on August 26th 2016. For a first event, there was good attendance from the analyst and influencer community. 


So take a look at my musings on the event here: (if the video doesn’t show up, check here)

 
\

No time to watch – here is the 1-2 slide condensation (if the slide doesn’t show up, check here):
  
 
Want to read on? Here you go: Always tough to pick the takeaways – but here are my Top 3:


Leader in traditional R&R - There can be little question that O.C. Tanner is one of the leaders in the traditional R&R (Rewards & Recognition) space – all the way to the origins of the enterprise, when founder Tanner created commemorative pins in the basement of his mother’s house. The vendor has optimized its delivery process, pushing the lean concept with great success – all the way from 20+ days to 20 minutes to produce an individualized commemorative reward item. Equally the vendor employs graphic and user experience designers and other creative capacities to advise enterprise on the implementation of a successful R&R strategy, from planning overall all the way to design of e.g. the Yearbook (see below more) and appreciation items. 

Branching out into technology R&R - O.C. Tanner is a pioneer in the R&R space starting with its SaaS based daily (Performance) recognition product launched over ten year ago followed by the Yearbook product launch approximately three years ago. The Yearbook is a tailored, individualized appreciation item for an employee with an anniversary. It is open for input from both inside of the enterprise sources, as well as friends and family. From customer and vendor presentations the Yearbook is very successful in enterprises to boost morale and show employee recognition. Along the same lines O.C. Tanner has made a foray into the corporate wellness market with its Welbe application. It is well built, with a good and modern user interface and some crowd based capabilities (e.g. start your own communities), a good start. 

Performance Management in O.C. Tanner Labs - The other new application we saw coming out of O.C. Tanner labs (more below) was focused in the area of Performance Management. This solution is still under non-disclosure so more to come in the near future. Given the sore state of Performance Management, the question is on the hand if O.C. Tanner is not getting into the Performance Management market. The O.C. Tanner labs initiative is certainly a starting point, we will see where the vendor (and customers and prospects) take it.
 

MyPOV

Always good for vendors reaching out to the analyst / influence community. When they make over 400M US$ revenue, they take a sizeable HR spend and HR leaders want to know what the vendors are up to from the analyst community, so kudos to O.C. Tanner to start these meetings. Equally impressive is that executives at O.C. Tanner have realized that the technology R&R products are likely not to come from the traditional organization, and have setup O.C. Tanner labs, both as an innovation incubator as well as a potential source for future growth in the technology enabled segments of the R&R market. Lastly it is good to see a vendor investing when times are good, O.C. Tanner has just extended / remodeled its HQ in a very impressive way, the result is an appealing place to work and to host customers as well as prospects.

On the concern side, the vendor has to bridge a traditional moat from traditional to technology based R&R products. It takes different skills and different market dynamics – remaining good at one and getting better at the other is not easy to achieve. One only has to look at the many IS consultants who have failed and still try to become software product providers. But you can’t fault O.C. Tanner for trying and the first steps are promising.

For existing customers and prospects these investments are good news. More capabilities and a more complete offering. Decision makers need to have a look on the cost side, but getting more from one vendor is usually music in the ears of HR decision makers who fear nothing more than integration costs and risks. To be fair they face galore of those, so having less potential headaches in the R&R space is good news. But with all R&R projects, they need to ‘work’ in regards of employee engagement and motivation. At this point we do not see the risk of O.C. Tanner resources getting distracted with two different strategic areas, but that’s always a risk to keep an eye on when a vendor is branching out.

Overall good to see a company entering the last decade before turning 100 to do well, invest and even not shy away from disrupting itself. We will be watching – stay tuned.


Want to learn more? Checkout the Storify collection below (if it doesn’t show up – check here).

Find more coverage on the Constellation Research website here and checkout my magazine on Flipboard and my YouTube channel here.
 
 
Future of Work Chief People Officer

SAP Reportedly Buying Altiscale to Power Big Data Services

SAP Reportedly Buying Altiscale to Power Big Data Services

SAP needs to address big data, streaming and IoT apps. Altiscale would accelerate efforts to deliver high-scale and high-performance cloud data services.

SAP is acquiring Altiscale, VentureBeat reported on August 25. SAP neither confirmed nor denied the report, offering a statement that it “does not comment on market rumors or speculation.” If the acquisition is real, it would, in my view, make sense.

Altiscale is a four-year-old startup that specializes in cloud-based Hadoop and Spark services. As such it technically competes against mainstream Hadoop services, such as Amazon Elastic MapReduce, Microsoft HDInight and Google Cloud Dataproc. But Altiscale differentiates itself from these low-cost providers by combining high-performance Hadoop and Spark services with integrated ingestion, transformation, and analytical capabilities via its Altiscale Insight Cloud offering. A small niche player, the company also stresses high-touch support and professional services, which puts it in more direct competition with Qubole.

@Altiscale

Altiscale combines Hadoop and Spark cloud services with integrated data ingest, prep
and analytics as well as supporting professional services.

By acquiring Altiscale, SAP would quickly gain capacity and deep expertise for delivering Hadoop, Spark and high-scale data services. All of the above would complement SAP’s cloud and IoT strategies while reducing the need for customers to work with third-party vendors.

SAP HANA continues to be the cornerstone of the company’s data-management strategy, but at SAPPHIRE 2015 the company announced that it will also rely on Hadoop and Spark to support its big data and IoT strategies. SAP subsequently announced, and in March made generally available, Hana Vora, which uses Spark to provide interactive analytics on high-scale data in Hadoop.

MyPOV: If this deal is real, I think it will be a boon to SAP. The company is, of course, partnered with all of the leading Hadoop software distributors and with Spark overseer Databricks, but to date the company has lacked its own Hadoop and Spark services. Altiscale would enable SAP to help customers with high-scale data capacity and data pipelines without relying on third-party vendors. What remains to be seen – again, if the deal is real – is how and whether Altiscale’s existing services would change in the wake of an acquisition. Altiscale could not be reached in time for comment.

Earlier this year I interviewed executives at Altiscale customer MarketShare for an in-depth case study, and they were quite happy with the company’s services. Although costs were higher for Altiscale than for Amazon EMR, the Hadoop service it previously used, MarketShare reported that its Hadoop jobs were completed in one-quarter to one-fifth the time and at 65 percent to 70 percent of the cost on Altiscale. It’s a compelling story, but one that’s hard for a small vendor to get out there when up against the biggest public cloud service providers in the industry.


Data to Decisions Chief Information Officer

IBM Alliances Insights - Deep Plans for Partnerships with Oracle, SAP, Microsoft

IBM Alliances Insights - Deep Plans for Partnerships with Oracle, SAP, Microsoft

We had the opportunity to attend the yearly IBM Alliance Insights event, held August 23rd and 24th in New York. The analyst event was well attended with the usual colleagues covering services players, coming all the way from Europe. The focus was on three major partnerships of IBM, respectively with SAP, Oracle and Microsoft.
 
 

So take a look at my musings on the event below: (if the video doesn’t show up, check here)


 

No time to watch – here is the one slide condensation (if the slide doesn’t show up, check here):


 

Want to read on? Here you go: Always tough to pick the takeaways – but here are my Top 3:

Deep Plans - IBM has substantial business with all three partners, so not surprisingly the plans with each are elaborate, carefully crafted and validated multiple times. The common leitmotiv for all three of them is that IBM is trying to push its two strong assets with Watson and IBM Cloud in all partnerships, while maintaining and expanding its substantial professional services business with all three vendors. The relationship is different with all three partners so let’s take a look:
  • SAP - IBM goes the longest back across all three partners, and has a very strong professional services business. SAP was also the first ISV with which IBM partnered to position the IBM Cloud (read here), which has put IBM in a very strong position across the existing (and future) SAP IaaS partners. Similarly IBM and SAP are using Watson in talent acquisition scenarios as well as other scenarios. Both vendors are committed to the partnership (see more here).
 
  • Oracle - The 2nd largest of the three partnerships, where IBM has a unique portfolio, not only offering services for Oracle’s current cloud products and its older e-Business Suite product family, but also for the acquired products Peoplesoft, JDE Edwards and Siebel. IBM has seen the high cloud priority for Oracle and has substantially invested into training, education and certification of the IBM professional resources, and this investment is starting to pay off in 2016. Positioning of Watson and IBM Cloud are a little trickier than with SAP, with Watson client lead and demanded offerings being on the way. With the older Oracle offerings like e.g. Siebel, JDE and Peoplesoft the cloud overlap does not exist and IBM Cloud is a key asset for the IBM teams.

?

  • Microsoft - The youngest of all three partnership, that only recently has been promoted from a regional level (in Europe) to a global level. The overall product portfolio overlap between IBM and Microsoft is the biggest, giving less room for synergies. IBM and Microsoft started around CRM and Dynamics and both areas are doing well. IBM is copying working best practices and offerings of the IBM and Apple partnership to a Surface partnership with IBM which is off to a promising start, with IBM providing both service and financing products for Surface customers. In this partnership IBM is likely to require to invest more in common offerings around net new businesses, e.g. for the Microsoft Hololens and whatever Microsoft plans to productize on the LinkedIn side. 

Watson and Cloud are the pillars - We have written earlier and multiple times that both Cloud (via the SoftLayer acquisition) and Watson are the strong cards for IBM’s overall product portfolio (see e.g. here). It makes sense for IBM to use them in the above alliances, and it is good to see both product are well on the way to support partnerships. The Watson pivot to the expose APIs via BlueMix is successful and uniquely supportive of partner engagements both on a product and professional services side. And the relative low commercial entry point of IBM Cloud to establish data centers is a key attraction for joint customers as well as ISVs (see e.g. with Workday most recently here). But the competition does not sleep, SAP seems to apply past best practices to databases now to partnering on IaaS and Microsoft has its own Machine Learning ambitions.

Vertical and IP ambitions - Beyond the more horizontal capabilities of Watson and IBM Cloud, IBM clearly sees vertical offerings as a major opportunity across all three partnerships. This is a perennially valid perspective, as all product vendors in the league of the three partners think horizontal and then vertical – leaving room open for partners to fill the gap. Its back to IBM now to address with the often seen consulting offerings or taking this effort a step further and creating true products (with a version number, a roadmap, support and maintenance) for them. Definitively a different DNA required for this, but IBM has this DNA in house in the product divisions. Will be interesting to watch.

Finally IBM also has a data / data services maybe even DaaS play with these partners, as it is looking at offering both analytical insights as well as data services with the Weather Company, data access to the Twitter firehose and many more. But these are offerings that IBM needs to provide regardless of these three partners. It will be interesting to observe, if IBM will partner with these three for data exchange, benchmarking (e.g. with SAP for the Sybase 365 data, that recently SAP started to sell via SAP Digital (see here), Oracle’s elaborate DaaS offerings (see here) and Microsoft with Linkedin (see here).

Overall MyPOV

These are very large and strategic partnerships for IBM. Roughly every 6th IBMer is creating value in the ecosystem of these partners. That is larger than many service providers are stand alone. So no surprise IBM is planning, coordinating and crafting strategies with a lot of thought, substance and depth. No surprise.

On the concern side, IBM now needs to execute on these plans, without falling back to traditional ‘professional services’ roots and deliver the more IP based, productized offerings. IBM has the DNA, resources and people to do that, but they need to come together at the right time. The Rubicon that the services business has to cross is not to only leverage existing product commitments from a services perspective, but to create lasting IP or even product offerings that create a flywheel effect between its services and these new products.

For enterprises looking at IBM as a partners this is overall good news, as less time and labor based, not start from scratch projects, but fast to value approaches are what enterprises need in an ever faster evolving world. Like with all service providers we recommend enterprises to look for product naming, version numbers, roadmaps and dedicated support and maintenance strategies – across a growing customer base for these offerings.

Overall it is good to see the progress IBM has already made on some of the partnerships (e.g. with SAP where the renewed partnership was just launched in spring of this year). It won’t get boring in the near future, we will be watching, stay tuned.

 
 
More on IBM:
 
  • News Analysis - Workday, IBM Form Strategic Partnership on the IBM Cloud - The IaaS vendor race for SaaS load is on - read here
  • News Analysis - IBM Boosts Support to OpenStack's RefStack... first serious attempt to make OpenStack interoperability real - read here
  • Event Report - IBM Interconnect - IBM innovates and partners into the hybrid cloud era - read here
  • News Analysis - IBM and VMware announce partnership to accelerate enterprise hybrid cloud adoption >> Looking promising - read here
  • Event Preview - IBM Interconnect 2016 - read here
  • Site Visit - IBM Design Studio Austin - read here
  • MarketMoves - IBM strikes 3x in Fall - Cleversafe, The Weather Company and Gravitant - read here
  • News Analysis - IBM launches Industry's First Consulting Practice Dedicated to Cognitive Business - a good move it's early times - read more
  • News Analysis - IBM plans to acquire Cleversafe to propel Object Storage into the Hybrid Cloud >> a good move. Read here
    Market Move - IBM acquires StrongLoop - nodejs comes to BlueMix - read here
  • News Analysis - IBM and ARM Collaborate to Accelerate Delivery of Internet of Things - The IBM NextGenApps Stack emerges - read here
  • Progress Report - IBM Cloud makes good progress - but needs to attract more load - read here
  • Market Move - IBM gets into private cloud (services) with Blue Box acqusition - read here
  • Event Report - IBM InterConnect - IBM makes bets for the hybrid cloud - read here
  • First Take - IBM InterConnect Day #1 Keynote - BlueMix, SoftLayer and Watson - read here
  • News Analysis - IBM had a very good year in the cloud - 2015 will be key - read here
  • Event Report - IBM Insight 2014 - Is it all coming together for IBM in 2015? Or not? 
  • First Take - Top 3 Takeaways from IBM Insight Day 1 Keynote - read here
  • IBM and SAP partner for cloud - good move - read here
  • Event Report - IBM Enterprise - A lot of value for existing customers, but can IBM attract net new customers? Read here
  • Progress Report - The Mainframe is alive and kicking - but there is more in IBM STG - read here
  • News Analysis - IBM and Intel partner to make the cloud more secure - read here
  • Progress Report - IBM BigData an Analytics have a lot of potential - time to show it - read here
  • Event Report - What a difference a year makes - and off to a good start - read here
  • First Take - 3 Key Takeaways from IBM's Impact Conference - Day 1 Keynote - read here
  • Another week and another Billion - this week it's a BlueMix Paas - read here
  • First take - IBM makes Connection - introduces the TalentSuite at IBM Connect - read here
  • IBM kicks of cloud data center race in 2014 - read here
  • First Take - IBM Software Group's Analyst Insights - read here
  • Are we witnessing one of the largest cloud moves - so far? Read here
  • Why IBM acquired Softlayer - read here
Find more coverage on the Constellation Research website here and checkout my magazine on Flipboard and my YouTube channel here
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Artificial Intelligence: Seven Factors For Precision Decisions

Artificial Intelligence: Seven Factors For Precision Decisions

The Rush To Artificial Intelligence Will Enable Augmented Humanity

While market leaders and fast followers have not yet achieved mass personalization, the next rush is focused on investments in artificial intelligence (see Figure 1).  Searching for a competitive advantage and fearful of disruption, board rooms and CXO’s have rushed to artificial intelligence as the next big thing.  The investment in pilots for AI’s subsets of machine learning, deep learning, natural language processing, and cognitive computing have moved from science projects to new digital business models powered by smart services.

Figure 1. Digital Systems Ultimately Will Achieve Artificial Intelligence

The future is augmented humanity

Early Adopters Realize That Good AI Requires Seven Success Factors

With the goal of precision decisions, successful AI projects require more than just great algorithms or access to data scientists.  What market leaders and fast followers have discovered are seven traits that require nurturing (see Figure 2):

  1. Large corpus of data.  The battle for large data sets has nothing to do with having more data.  The goal is to build the largest graph that maps the connections to data.  More data should improve the precision of insights and allow for more patterns to emerge.
  2. Massive compute power.  Winners will have access or own cheap compute power.  The ultimate metric for AI rests in pricing not by just compute power, but potentially cost per kilowatt hour.  So the cheapest rate of compute power may determine the cost structure for AI smart services.
  3. Time.  There is no substitute for time.  Early adopters gain an advantage of time.  Algorithms need time to improve.  Data set gathering requires time for better precision.  More interactions in the network depend on time.
  4. Awesome math talent.  The discovery of patterns, creation of new algorithms, and the ability to apply human intuition to compute requires great math talent.  People enable artificial intelligence.  Algorithms are only as good as the math talent.  Success will require the hiring of digital artisans – those who can balance right brain and left brain expertise.
  5. Industry specific expertise.  Industry vertical experience will emerge as the key differentiator in AI smart services.   The more advanced and specialized the AI system, the more relevance to the end users.
  6. Natural user interfaces and user experiences.  Expect AI systems to mimic human interaction going forward.  From sensory capabilities, to visualization, to voice, to gesture, the interfaces will improve in human and natural like capabilities.
  7. Recommendation engines.  The output of AI comes to precision decisions.  AI systems augment humanity.  The recommendation engines that emerge will enable choices, accelerate decision making, and ultimately provide filters that deliver situational awareness.

Figure 2.  Seven Factors In Good Artificial Intelligence

Seven Factors in Good AI

 

The Bottom Line: Expect AI Networks To Emerge

The seven success factors for AI foreshadow a world where limited players can deliver AI smart services.  Why? Access to huge corpus of data and massive compute power fall in the hands of the few.  Expect the internet giants, cloud computing behemoths, and the social networking leaders to have an edge in delivering AI:

  • Alibaba
  • Amazon
  • Apple
  • Baidu
  • Facebook
  • Google
  • Microsoft
  • Oracle
  • QQ
  • Sina
  • Tabao
  • Weibo
  • Yahoo
  • Yandex

Moreover, the value in AI will come from the smart services that emerge through digital transformation projects.  More than just automation, these AI driven smart services will power the future business models.  Thus, winners will secure the seven critical success factors and create the network economies that will dominate their industries.

Your POV.

Are you ready to unlock the powers of Artificial Intelligence?  What’s your entry point? Machine learning, natural language processing, topological data analyses? Would you like to hear what other organizations have embarked on?  Would you like us to present to your boardroom?  Learn how non-digital organizations can apply an AI road map to disrupt digital businesses in the best-selling Harvard Business Review Press book Disrupting Digital. 

Add your comments to the blog or reach me via email: R (at) ConstellationR (dot) com or R (at) SoftwareInsider (dot) org.

Please let us know if you need help with your Digital Business transformation efforts. Here’s how we can assist:

  • Developing your digital business strategy
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  • Sharing best practices
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  • Demystifying software licensing

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The post Tuesday’s Tip: Seven Factors For Precision Decisions In Artificial Intelligence appeared first on A Software Insider's Point of View.

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Did Microsoft buy LinkedIn for the contacts?

Did Microsoft buy LinkedIn for the contacts?

Microsoft turned heads in June when it announced its most expensive acquisition to date, the US$26 billion purchase of LinkedIn. Executives from both companies explained that the deal will lead to richer user experiences in Microsoft’s Office 365 and Dynamics products. Commentators framed the takeover interms of integrating LinkedIn's social graphs into the Microsoft product UX – for example, helping users better prepare for meetings by having Outlook display details of the people you're going to be meeting with.   

But that didn't make sense to me.  Would Microsoft really spend $26 billon to enhance meeting invitations?  And it's not like the privacy-conscious Microsoft is going to try and exploit the contact details, even subtly.  So I started to think about how the deep history of massed professionals' career growth could be valuable to a workplace automation leader.  

At first glance, LinkedIn is a huge library of career snapshots. For hundreds of millions of professionals around the world, LinkedIn hosts their living resumes, but it’s so much more.  For years now, members have curated their LinkedIn profiles, adding new positions, courses, publications and connections.  They have given and received endorsements, and shared news and views that matter to their jobs and careers, acting as friendly amateur coaches for each other. LinkedIn has traced all this information in time. Within this dataset are the detailed histories of professionals that do well and others that don’t. The data can reveal characteristics of individuals – their backgrounds, skills, geographies, and associations – which correlate with their career growth.  Over time, the graphs can reveal how professional activities, qualifications, and combinations of these affect career trajectories, not just of the individual but of the groups they belong to - their peers, college cohorts, teams, employers, professions and industries.  

Imagine being able to track, model and predict which ways of working will do better in the future. Imagine knowing which professional traits confer fitness to survive in different niches in the business ecosystem, and at the different levels of individual, groupm sectors, and regions.

In the old management joke, a worried CFO asks the CEO, What if we spend all this money on training our employees, and they leave? to which the CEO responds,  What if we don’t … and they stay? Human resources wisdom runs deep, but so little of it is actually tested. Microsoft can now start to rigorously answer perennial HR questions like:

- What experience and training correlates with sustainable company growth?  
- What is the optimum mix of breadth of experience and specialization? 
- How does workplace diversity affect business success? 
- Does diversity correlate with ideation and innovation?
- How important is proximity to resources, capital, personnel, universities? 
- What are the real differences between Gen X/Y/Z? 

It remains to be seen how Microsoft will monetize all this intelligence. 

A big idea is that LinkedIn can help Microsoft’s AI projects. One of the great challenges in AI is imbuing algorithms with human sensibilities. Conversation and assistive technologies are key to Microsoft's future, and they can benefit enormously from insights into what makes humans tick in the workplace. 

With my terrific Constellation Research colleagues Alan Lepofksy and Cindy Zhou, I've written a new report on the Microsoft-LinkedIn deal.  We explore the many benefits for the Microsoft product and service line, and what it means for the future or work.  

The report Microsoft Acquires LinkedIn, Shaping the Future of Work is available now

LinkedIn + Microsoft: Marketing and Sales Monetization Opportunities

LinkedIn + Microsoft: Marketing and Sales Monetization Opportunities

Big news in the tech world back in June with Microsoft announcing they were acquiring LinkedIn for $26.2b. I remember watching CNBC Fast Money the day of the announcement and Melissa Lee asking the panel how would Microsoft monetize the acquisition?  No one on the panel seemed to have an answer and I sent out this tweet at the time:

Now that a few months have passed and the dust settled, my esteemed colleagues, Steve Wilson, privacy and security expert, Alan Lepofsky, Guru in social collaboration, and I had a chance to examine the deal in more detail.  We co-authored a new report, Microsoft Acquires LinkedIn, Shaping the Future of Work, that explores the opportunities — and possibilities, that lie ahead as the companies come together.
 
As a person that sits in the center of marketing and sales, I saw many opportunities for Microsoft to capitalize on the deal.  It will require great acquisition integration, but the potential is there from expanding Navigator, adding new data augmentation/content append solutions, to the possibilities with the PointDrive acquisition for sales engagement.
 
Constellation clients can access the full joint report or read an excerpt here.
Also read Alan and Steve's perspectives at:
 
 
 
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