Book Summary: Lesson 4 From Disrupting Digital Business: Data Is The Foundation

R "Ray" Wang

Principal Analyst and Founder
Constellation Research

R “Ray” Wang is the CEO of Silicon Valley-based Constellation Research Inc. He co-hosts DisrupTV, a weekly enterprise tech and leadership webcast that averages 50,000 views per episode and blogs at www.raywang.org. His ground-breaking best-selling book on digital transformation, Disrupting Digital Business, was published by Harvard Business Review Press in 2015. Ray's new book about Digital Giants and the future of business, titled, Everybody Wants to Rule The World was released in July 2021. Wang is well-quoted and frequently interviewed by media outlets such as the Wall Street Journal, Fox Business, CNBC, Yahoo Finance, Cheddar, and Bloomberg. Short Bio R “Ray” Wang (pronounced WAHNG) is the Founder, Chairman, and Principal Analyst of Silicon Valley-based Constellation Research Inc. He…...

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Get All 10 Lessons Learned From Disrupting Digital Business

As with the beginning of every revolution, those in the midst of it can feel it, sense it, and realize that something big is happening. Yet it’s hard to quantify the shift. The data isn’t clear. It’s hard to measure. Pace of change is accelerating. Old rules seem not to apply.

Sometimes when you are in the thick of it, it’s hard to describe what’s happening.  In the case of digital business, these models have progressed over the past 20 years.  However, non-traditional competitors have each exploited a few patterns with massive success. However, as the models evolved, winners realize there are more than a handful of patterns.

Lesson 1 – Transform Business Models And Engagement

Lesson 2 – Keep The Brand Promise

Lesson 3 – Sell The Smallest Unit You Can

Lesson 4 – Data Is The Foundation Of Digital Business

In fact, the impact is significant and now quantifiable with 52% of the Fortune 500 gone since 2000 and the average age of the S&P 500 company in 1960 is down from 60 years to a little more than 12 projected in 2020.  That is a 500% compression that has changed the market landscape forever in almost every industry.

Over the course of the next 10 weeks, I’ll be sharing one lesson per week.  For traditional businesses to succeed, they will have to apply all 10 lessons from Disrupting Digital Business in order to not only survive, but also relearn how to thrive.

Data Is The Foundation Of Digital Business

We’ve all heard about the importance of data.  From big data to small data, the digital world relies on every interaction.  Digital enables every touch point, every click, every piece of digital exhaust to transform into right-time, relevant, and contextual, insight.  In fact this data powers the ability to achieve a data driven decisions framework where data is transformed into information based on business process and context.  From campaign to lead, lead to opportunity, order to cash, incident to resolution, hire to retire, procure to pay, and concept to product, context enables relevancy of process which transforms data into information.  Context driven by role, relationship, business process, product, geo-spatial, time, sentiment, and even intent enable right relevancy.

We then take this information and analyze for patterns.  The bigger the data set, the more opportunities for algorithms to find patterns of insight.  The goal is to ask questions of the data and also take the surfaced up patterns.  From these patterns, systems gain the ability to guide the decisions and actions based on the data.  This is the data to decisions framework that guides digital business.

Just having the data is part one. The next step is to build big data business models.  My December 6th, 2012 post on Harvard Business Review is great place to get started.

Homework

So where do we begin?  Best to start by identifying the questions you seek to answer.  We often have clients start by asking how do I know what traits make up my most valuable products, employees, customers, and suppliers?  This questions helps drive the questions around what context matters.  From there you can then figure out the information flows and business processes that drive that context. With this information in hand, then understanding the people and devices touched will provide the next level of design. Finally understanding the data source and channel of your data will provide you the reverse engineering required to succeed in getting the data to decisions framework.

Armed with this information, you can then start about how to create big data business models powered by insight.  Start by identifying what new brand promises can be delivered from insight.  Then identify what insight can be aggregated, benchmarked, or remixed for sale.  At the highest level, determine what marketplaces occur for that insight.

The Complete 10 Lessons Learned From Disrupting Digital Business

For those attending the full keynotes and book tours, you’ll get the complete session and in many cases a copied of a signed booked.   For those following virtually, I’ve provided the slimmed down slide share deck for your use.

You now have the 10 lessons learned to disrupt digital business in your hands. You can take this information and change the world in front of you or choose to sit on the knowledge as the world passes you by and digital darwinism consumes your organization.

I trust you will do the right thing. And when you want some company, come join us as a client at Constellation Research where we’re not afraid of the future and the art of the possible.

Get The Book Now Before Digital Darwinism Impacts You

Purchase on Amazon
Bulk Orders: contact [email protected]
About Disrupting Digital Business

Join the Digital Disruption Tour. Events in San Francisco, Atlanta, London, and Amsterdam!

Your POV.

Are you ready to disrupt digital business?  Have you ordered the book?

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

Resources

The post Book Summary: Lesson 4 From Disrupting Digital Business – Data Is The Foundation appeared first on A Software Insider's Point of View.

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Forget Co-Eds and Grumpy Cat, Facebook Is Now a Political Hub

Partner, Sensei Marketing
Partner, Sensei Marketing

Sales & marketing veteran with almost 30 years’ experience and now 1800 digital projects to his credit for clients including Morgan Stanley, AOL, Hyatt Gaming Management, Snyder's of Hanover, Hitachi, the Home Depot, Kraft Foods, Drees Homes, American Idol, and hundreds more, including leading agencies around the North America.     ...

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Facebook has come a long way from the day when a handful of horny college boys used it to list and rate female students. Many will argue that despite the network’s continued popularity and evolving advertising and targeting algorithms, it’s done little more to benefit humanity than its original program.

Facebook’s evolution continues; toilet-flushing cat lovers have found Pinterest and the selfie-addicted seem to have moved on to Instagram (albeit it not as fast as many of us wish). So what’s next for Facebook? What’s the next big trend among the next generation, among Millennials?

“Like” Button is the New Political Button 

Back in September 2013 Pew Research released a report that suggested most people are not comfortable with political conversations on Facebook. Fast forward almost two years and things have changed dramatically.

Last week, eMarketer reported on a study based on research by GfK for Harvard University Institute of Politics that shows the next generation has adopted Facebook as its preferred social network for sharing their political ideologies.

“When the study asked US millennial internet users about their digital political activities, respondents were most likely to have signed an online petition. However, the next four most popular responses all related to Facebook actions, as those with an account reported “liking” a political issue (30%) or candidate (24%) on Facebook, as well as using the social network to advocate for a political position.”

The report when on to list the massive popularity of Facebook as a political platform for the rest of the population as well, citing a report by ShareThis that indicated 71% of US internet users chose Facebook as their preference to share or comment on the 2014 midterm elections.

What’s even more interesting is the fact that the popularity of politics on social media seems to be focused on Facebook specifically; neither Millennials nor political pundits listed Twitter as a preferred network for political campaigning.

Politics 2.0: Ad Targeting on Facebook

Indeed, Facebook’s “Like” button is the next political support button. According to the online publication, The Record, delegates at a recent Conservative political convention in Canada found one quarter of the educational sessions provided by the party were focused on digital engagement with voters.

Columnist Stephanie Levits suggests that while data science has always been important for politicians, Facebook has taken it to another level. “Facebook can match voter lists gathered by parties to Facebook users and then target just those users with particular ads, and go even further by taking those profiles and looking for users who are similar, and help politicians blast them with ads as well.”

There doesn’t seem to be an end to the growth of political conversations on social media.  Google research data indicate that a typical voter will make 14.7 online attempts to gather information about political issues before deciding how to vote or for whom to vote.

My mother always said that religion and politics are not polite conversation at social events, yet somehow Facebook has embraced politics and religion as popular fodder for our collective digital/social conversations.

“Like” It or Hate It

There’s certainly two camps in this discussion; more and more people are turning to Facebook to support their political affiliations yet there’s a growing frustration with politics in Facebook conversations.

I’m going to suggest a change to the idiom, “When your parents join Facebook, it’s time to quit Facebook.” Maybe it should read, “When Facebook friends become fixated on politics, it’s time to quit Facebook.”

Sensei Debates

1. Is Facebook a better or worse social network thanks to its political content and opinion?
2. Do you turn to Facebook for political discourse?

Sam Fiorella
Feed Your Community, Not Your Ego

The post Forget Co-Eds and Grumpy Cat, Facebook Is Now a Political Hub appeared first on Sensei Marketing.

Marketing Transformation Next-Generation Customer Experience Future of Work Innovation & Product-led Growth New C-Suite Digital Safety, Privacy & Cybersecurity meta 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 Customer Officer Chief Marketing Officer Chief People Officer Chief Human Resources Officer

Regulation Needed to Curb Inappropriate Re-Identification

Steve Wilson

Former Vice President and Principal Analyst
Constellation Research

Steve Wilson is former VP and Principal Analyst at Constellation Research, leading the business theme Digital Safety and Privacy. His coverage includes digital identity, data protection, data privacy, cryptography, and trust. His advisory services to CIOs, CISOs, CPOs and IT architects include identity product strategy, security practice benchmarking, Privacy by Design (PbD), privacy engineering and Privacy [or Data Protection] Impact Assessments (PIA, DPIA). Coverage Areas: -  Identity management, frameworks & governance-  Digital identity technologies-  Privacy by Design -  Big Data; “Big Privacy”-  Identity & privacy innovation Previous experience: Wilson has worked in ICT innovation, research, development and analysis for over 25 years. With double…...

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In 2014, the New York Taxi & Limousine Company (TLC) released a large "de-identified" dataset containing 173 million taxi rides taken in 2013. Soon after, computer scientist Anthony Tockar managed to undo the hashed taxi registration numbers. Tockar went on to combine public photos of celebrities getting in or out of cabs, to recreate their trips, including it was alleged, where those trips had started at strip clubs. See Anna Johnston's analysis here.

This re-identification demonstration has been used by some to bolster a general claim that anonymity is increasingly impossible.

On the other hand, medical research advocates like Columbia University epidemiologist Daniel Barth-Jones argue that the practice of de-identification can be robust and should not be so easly dismissed as impractical. The identifiability of celebrities in these sorts of datasets is a statistical anomaly reasons Barth-Jones and should not be used to frighten regular people out of participating in medical research on anonymised data. He wrote, in a law journal article, that:

"[Examining] a minuscule proportion of cases from a population of 173 million rides couldn't possibly form any meaningful basis of evidence for broad assertions about the risks that taxi-riders might face from such a data release." (emphasis added by me).

In his position, Barth-Jones is understandably worried that re-identification of small proportions of special cases is being used to exaggerate the risks to ordinary people. But Barth-Jones belittles the risk of re-identification with exaggerations of his own. The assertion "couldn't possibly form any meaningful basis" over-states his case quite dramatically. The fact that any people at all were re-identified plainly does create a basis for concern for everyone.

Barth-Jones objects to any conclusion that "it's virtually impossible to anonymise large data sets" but in an absolute sense, that claim is surely true. If any proportion of people in a dataset may be identified, then that data set is plainly not "anonymous". Moreover, as statistics and mathematical techniques (like facial recognition) improve, and as more ancillary datasets (like social media photos) become accessible, the proportion of individuals who may be re-identified will keep going up.

[Readers who wish to pursue these matters further should look at the recent Harvard Law School online symposium on "Re-identification Demonstrations", hosted by Michelle Meyer, in which Daniel Barth-Jones and I participated, among many others.]

Both sides of this vexed debate need more nuance. Privacy advocates have no wish to quell medical research per se, nor do they call for absolute privacy guarantees, but we do seek full disclosure of the risks, so that the cost-benefit equation is understood by all. One of the obvious lessons in all this is that "anonymous" or "de-identified" are useless descriptions. We need tools that meaningfully describe the probability of re-identification.

And we need policy and regulatory mechanisms to curb inappropriate re-identification.

I argue that the act of re-identification ought to be treated as an act of Algorithmic Collection of PII, and regulated as just another type of collection, albeit an indirect one. If a statistical process results in a person's name being added to a hitherto anonymous record in a database, it is as if the data custodian went to a third party and asked them "do you know the name of the person this record is about?". The fact that the data custodian was clever enough to avoid having to ask anyone about the identity of people in the re-identified dataset does not alter the privacy responsibilities arising. If the effect of an action is to convert anonymous data into personally identifiable information (PII), then that action collects PII. And in most places around the world, any collection of PII automatically falls under privacy regulations.

It looks like we will never guarantee anonymity, but the good news is that for privacy, we don't need to. Privacy is the protection you need when you affairs are not anonymous, for privacy is a regulated state where organisations that have knowledge about you are restrained in what they do with it. Equally, the ability to de-anonymise should be restricted in accordance with orthodox privacy regulations. If a party chooses to re-identify people in an ostensibly de-identified dataset, without a good reason and without consent, then that party may be in breach of data privacy laws, just as they would be if they collected the same PII by conventional means like questionnaires or surveillance.

Surely we can all agree that re-identification demonstrations serve to cast light on the claims made by governments for instance that certain citizen datasets can be anonymised. In Australia, the government is now implementing telecommunications metadata retention laws, in the interests of national security; the data we are told is de-identified and "secure". In the UK, the National Health Service plans to make de-identified patient data available to researchers. Whatever the merits of data mining in diverse fields like law enforcement and medical research, my point is that any government's claims of anonymisation must be treated critically (if not skeptically), and subjected to strenuous and ongoing privacy impact assessment.

Resources:

Getting Started Guide: Privacy Engineering

The State of Identity Management in 2015

The State of Digital Privacy in 2015

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Why Digital Marketing Transformation is Important

Gavin Heaton

Founder
Disruptors Co

Gavin is the Founder of Disruptors Co, one of Australia’s leading independent strategy and innovation companies. Gavin advises firms on strategy, marketing, product development and innovation. He is also a member of the Orbits program, the influencer network of award winning analyst and advisory firm, Constellation Research. Gavin advises boards and leadership on innovation strategy, marketing, data-driven product development and corporate venturing. Gavin is on the board of Vibewire, a youth-led social enterprise based in Sydney, Australia and on the Technology Advisory Group for Good2Give – the workplace giving platform. ...

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I recently spent time with IBM travelling as part of their IBM Connect conference series in Auckland, Sydney and Melbourne. At each location, I hosted a panel discussion that centred on the “voice of the customer” – drawing out the experience and knowledge of panels that included ADMA’s CEO, Jodie Sangster, CIO of Tennis Australia, Samir Mahir, City of Melbourne’s Executive Manager, Commercial and Marketing, Lucan Creamer, Think Global Research’s Mark Tyler, and Twitter’s Head of Data Sales, Fred Funke.

I spent a few minutes with the IBM team to share my thoughts on why digital marketing transformation is important – and how you can use the “Marketing PANDA” to focus your efforts around customer centricity.

Marketing Transformation Innovation & Product-led Growth Next-Generation Customer Experience Tech Optimization Future of Work IBM 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 Machine Learning business SaaS PaaS CRM ERP Leadership Chief Information Officer Chief Marketing Officer

Getting the Swing of Microsoft Sway

Alan Lepofsky

Vice President & Principal Analyst
Constellation Research

Alan Lepofsky - VP and Principal Analyst, Constellation Research. With almost two decades of experience in the collaboration software industry, Lepofsky helps organizations improve the way their employees work together to get their jobs done. Lepofsky’s primary research area The Future of Work, focuses on: integrating collaboration and business processes (Purposeful Collaboration), structuring work via Social Task Management, leveraging analytics and digital assistants to work more productively, the strategic impact of mobile computing on business transformation, and measuring workforce culture based on Digital Proficiency instead of age. Twitter: @alanlepoLinkedIn: https://ca.linkedin.com/in/alanlepo     , Title: Big IdeasIntelligent Collaboration: The Intersection of…...

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Below is an embedded Microsoft Sway. To view the entire thing, you will need to place your mouse over the Sway and then scroll down. (it's a bit confusing at first)

Future of Work Microsoft

Event Report - Alteryx Inspire - Positive Growth on Product, Go to Market and Customers

Holger Mueller

Vice President and Principal Analyst
Constellation Research

Holger Mueller is VP and Principal Analyst for Constellation Research for the fundamental enablers of the cloud, IaaS, PaaS and next generation Applications, with forays up the tech stack into BigData and Analytics, HR Tech, and sometimes SaaS. Holger provides strategy and counsel to key clients, including Chief Information Officers, Chief Technology Officers, Chief Product Officers, Chief HR Officers, investment analysts, venture capitalists, sell-side firms, and technology buyers.  Coverage Areas: Future of Work Tech Optimization & Innovation  Background: Before joining Constellation Research, Mueller was VP of Products for NorthgateArinso, a KKR company. There, he led the transformation of products to the cloud and laid the foundation for new Business Process as a…...

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We had the opportunity to attend Alteryx user conference this week in Boston, held at the Westin hotel (, which did not win a prize for its elevator service). The conference was well attended with 850+ attendees, coming from all over the world. The vendor is growing fast e g. grew live customers by 50%, and so all the positive energy of growth was at the conference – customers, prospects, partners and employees are all energized.

 

So here are my top 3 takeaways from the event:

Good Housekeeping – A year ago when Alteryx had their user conference in San Diego (it will be back there in 2016), I had the time to sit down to learn and use the product, something analysts seldom find the time to do. And while the product had very powerful capabilities, it felt like having a little aging user experience and seemed like built together quickly, with some inconsistencies in the UI. But the user community was happy back then (as now) with the product, more importantly though Alteryx has listened and there are improvements in the 9.5 product and more coming in 10 (shipping later this year). The UI is re-done, naming improved, tools harmonized, menus made consistent, performance improved – all key new qualities of upcoming versions. And customers will benefit from them, especially given the Alteryx business model (see below).

 

CEO Stoecker on Analytics Independence

 

Analytic Independence – a blessing or a misnomer? – The conference ran all under the motto of analytical independence, something biding well to Boston as a location with Tea Party and other history etc. something both CEO Stoecker and COO Mathew used in their keynotes as themes. But what Alteryx really does well and is used for is data prep and data automation. Getting data from a variety of sources collected, exported, transformed, enriched and fed to target systems is the forte of Alteryx. As such the vendor has done well partnering with the leading visualization front end vendors Tableau and Qlik. But all of this does not have a ‘true’ analytics aspect (see my view here), the closest to this happening is modelling analytical insights with R, the most popular analytical language these days. And Alteryx does well here with R support, working closely with Spark and enabling SparkR as new capability at the conference. What Alteryx enables is the freedom to get data fed to models, and build these models if you like, so more about data modelling and prep freedom than analytics. Regardless, something all enterprises need and Alteryx makes a big difference for customers in regards of these vital steps. All customers we spoke to on and off the record see huge productivity gains in their BI operations, something key for enterprises today. As business accelerates, insights need to accelerate and Alteryx is a vital tool for enterprises to achieve that.
 

 

 

COO Mathews on Predictive Visualizations

A unique go to markeb – Alteryx follows the ‘land fast – then expand’ model, which means downloading the product is free and easy, in the following weeks Alteryx Sales will catch up with the customer to turn the ‘free’ trial into revenue. It was great to learn that Alteryx has improved that model even further, realizing how vital the first 5 minutes after the download are for further commercial success. There the ‘housekeeping’ improvements mentioned above will help significantly. And having widely available documentation, how tos, training available is crucial, too. It looks like Alteryx has gotten the model right as the number of customers has grown by 50% in the last 12 months. Probably the only path for a smaller vendor to gain market share quickly, and we applaud Alteryx for the guts and the improvement and operation of the model. Viral, self-service selling tis the future of enterprise software sales, avoiding lengthy RfP cycles, throwing ‘bodies in planes’ etc. The future user / decision maker wants to see, touch use the prospective software quickly and make the buying decision on their own.

 

New Visualizations coming in Alteryx 10

 

MyPOV

Good progress by Alteryx on product capabilities, the upcoming release 10 has key improvements. Also good to see that the vendor has perfected the light weight, even viral go to market approach.

On the concern side it is clear that Alteryx banks on the ‘keep data in place’ approach (vs moving it all) – it is too early to call what approach will win in the market place in the long run.

A neutral area right now is that Alteryx has ‘lost’ the desktop at approx. 50% of their customers to partners Tableau and Qlik – if Alteryx can keep the mix there and be successful on strengthening its front end tools (in the plans), all is good. If the desktop market share falls further it risks to be relegated to a powerful ‘backend tool’.

But for now its good news for Alteryx customers, as the vendor is pushing the envelope further in data prep and ‘true’ analytics.

Find more coverage on the Constellation Research website here.

And some key tweets from Day #1 of Inspire15:

 

And a Meerkat capture of the Day #1 and #2 Keynotes by CEO Stoecker and COO Mathews - check out my colleagues Doug Henschen and my takeaways at the end of the Day #2 keynote capture: 

 

 

 

2012, 2013, 2014 & 2015 (C) Holger Mueller - All Rights Reserved

Data to Decisions Tech Optimization Digital Safety, Privacy & Cybersecurity Innovation & Product-led Growth Future of Work Hortonworks SaaS PaaS IaaS Cloud Digital Transformation Disruptive Technology Enterprise IT Enterprise Acceleration Enterprise Software Next Gen Apps IoT Blockchain CRM ERP CCaaS UCaaS Collaboration Enterprise Service ML Machine Learning LLMs Agentic AI Generative AI AI Analytics Automation business Marketing finance Healthcare Customer Service Content Management Chief Information Officer Chief Experience Officer Chief Technology Officer Chief Information Security Officer Chief Data Officer

IBM isn’t about dark suits and starched shirts anymore: focused on providing tailored customer experience

pending

Guy Courtin was formerly Vice President and Principal Analyst at Constellation Research covering Matrix Commerce and how the Internet of Things drives the evolution of commerce.  Guy has over 15 years experience in the technology space and specifically in the supply chain space. Most recently he was the Vice President of Research at SCM World. Where he focused on the service providers that empowered supply chains. Prior to SCM World, Guy held numerous senior positions. He was responsible for product marketing at RSi, a retail supply chain solution provider. There managed RSi’s go to market strategy around their leading cloud based supply chain solutions. He also spear headed Progress Software’s supply chain group. Where he was responsible for driving revenue and market share as well…...

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Beginning of last week I was in San Diego for IBM’s Amplify customer and partner conference. While I have been fortunate to have had traveled to some interesting places in our world, this was the first time I had been to San Diego. One of those oddities of my travel. It certainly did not disappoint, unfortunately I was not able to visit any of the beaches nor were the Padres in town. But I digress.

IBM had over 3700 attendees and large number of their partners in attendance at Amplify 2015. Not surprising for a company of IBM’s stature. The show kicked off with Alex Banayan, Author; Venture Associate with Alsop Louie Partners on stage followed by Deepak Advani the General Manager for IBM Commerce. Nothing of great notice other than the fact this is IBM and you had a millennial hosting and IBMers presenting wearing denim rather than the pin strip blue suits and starched white shirts! But this contrast is not lost on what IBM is looking to do with retail and eCommerce. From main stage the message was clear – we are here to empower our clients to provide their customers with an experience that is second to none. IBM is gambling that their wide breadth of offerings, from software to services all tied back to powerful analytics powered by…you guessed it…Watson is a winning formula. A timely message for a market that is ripe for new business models for addressing customer demand and desire. Hardly a gamble, but more a sound strategy to gain market share within retail.

So how is IBM ready to provide the framework necessary to meet this growing need? Deepak outlined 6 pillars that IBM is building their solution around. They are split between customer engagement and partners & suppliers. Around customer engagement they are:

• Marketing
• eCommerce merchandising
• Customer analytics

Focusing on the partners & suppliers portion, IBM is focused on following three areas:

• Procurement
• Payment
• Integration B2B

 

Deepak and IBM are betting on the belief that these areas of focus will allow them to provide retailers, and really anyone in the commerce supply chain, the framework to address many of their business issues as well as allow for new business models. These pillars allow IBM to leverage their large portfolio of products and more importantly – services – in a well-articulated offering.

The one area that is lacking is with regards the retail execution and fulfillment portion. An aspect of the commerce supply chain that during my numerous hallway and formal conversations was not lost on both IBM executives as well as customers. It will be something to watch as they have a partnership with the likes of JDA and Pitney Bowes that should address this gap in the their offering. In the long term it will be interesting to see how these partnerships evolve. Does IBM stand to lose some control of their relationships with certain opportunities if they cannot also offer these execution and fulfillment offerings from their own suite? How could this impact both their sales forces and those of their partners, aka who will lead in certain deals? What happens if an implementation of the solution does not live up to expectations, which side will shoulder the responsibility?

Clearly IBM is not shy about partnering to augment their offerings or fill in gaps. They announced during the event a partnership with Facebook, which coupled with the partnerships with Apple and Twitter, demonstrate that IBM is not averse about pulling a wide variety of players into their ecosystem. These partnerships are cleaner since for the most part they are to provide IBM with some powerful and rich data sources to feed their growing analytics machine. When it comes to filling out the pillars Deepak mentioned, in the long run will IBM want to have the remaining pillars to be IBM blue or can partnerships suffice?

Tagged: Commerce, IBM, IBM Amplified, Retail, Supply Chain

Matrix Commerce Data to Decisions ML Machine Learning LLMs Agentic AI Generative AI AI Analytics Automation business Marketing SaaS PaaS IaaS Digital Transformation Disruptive Technology Enterprise IT Enterprise Acceleration Enterprise Software Next Gen Apps IoT Blockchain CRM ERP finance Healthcare Customer Service Content Management Collaboration Chief Information Officer Chief Marketing Officer Chief Supply Chain Officer Chief Technology Officer Chief Information Security Officer Chief Data Officer

2015 Teradata Influencer Summit

Vice President and Principal Analyst, Constellation Research
Constellation Research

Role: Vice President and Principal Analyst focusing on the IOT of Customer Experience and how the cloud is driving more flexible, agile, and robust customer service and customer experiences. In-app or in device customer service is the future. Coverage Areas: Next Generation Customer, Digital Marketing Transformation Bio: As a Vice President and Principal Analyst at Constellation Research, Inc, Petouhoff works with Fortune 100 and 500’s Senior Leadership teams to create strategic customer experience (marketing, sales and service) solutions which engage customers, build brands and grow businesses. Combining her experience as a former Forrester software analyst, PWC systems integrator and change management consultant, Petouhoff leads executive workshops to discuss to not only…...

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One of the best ways to really try to keep up with everything that is happening in the digital space is to attend conferences. It’s difficult to attend them all, but it’s important to try to attend as many as you can so you are up to speed. The Teradata Influencer Summit will cover Teradata products and services updates and customer presentations.

In addition, topics will range from Big Data, UDA to Aster strategy and customer successes. As big data is becoming an integral part of Marketing, Sales and Customer Service and especially Customer Success Management, it’s important to connect the dots between how data is gathered, sorted, stored, retrieved, used and how it can be applied to business use cases. I’ll be attending as an industry analyst. Look forward to seeing you there!

@drnatalie, VP and Principal Analyst, Covering Marketing, Sales and Customer Service and Customer Success Management Using Big Data to Deliver Amazing Customer Experiences.

Data to Decisions Next-Generation Customer Experience Big Data Chief Customer Officer