4 Clever Digital Safety and Privacy Quotes

Director of Customer Programs, Constellation Research
Constellation Research

Carole oversees the Constellation Executive Network, an executive community for innovative senior leaders who value strategic guidance from trusted advisors who understand the power of disruptive technologies. Carole brings over 15 years of marketing, strategic account management, and operations experience, specializing in high technology and professional services. She holds a BA from Santa Clara University and a MBA from Thunderbird, School of Global Management.     ...

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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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Steve Wilson, Constellation Research VP & Principal Analyst, covers digital safety and privacy and is chockful of knowledge about blockchain, security, and more. He's also a quick wit as you'll be able to tell from him quotes. His guidance on blockchain is among our most popular content for our readers. 

We provide weekly thought leadership quotes for anyone interested in non-mainstream, disruptive thinking from our seasoned Constellation analysts. The full archive remains accessible for our Constellation Executive Network members.

DOWNLOAD THESE ANALYST QUOTES

DIGITAL SAFETY & PRIVACY - Steve Wilson |  VP & Principal Analyst | Constellation Research 

"Biometrics don't work like they seem to in the sci fi movies. No security system is 100%."

"Most people are not yet up to speed on blockchain. No one should be shy to ask what blockchain is really all about."

"Computers are like nitroglycerine. They're kind of safe if you're unnaturally careful in the way you handle them."

"The question of whether consumers will pay for privacy protection is vexed."

        

Digital Safety, Privacy & Cybersecurity Innovation & Product-led Growth Future of Work New C-Suite Tech Optimization Data to Decisions Distillation Aftershots Next-Generation Customer Experience Matrix Commerce Leadership AI ML Machine Learning LLMs Agentic AI Generative AI Robotics Analytics Automation Cloud SaaS PaaS IaaS Quantum Computing Digital Transformation Disruptive Technology Enterprise IT Enterprise Acceleration Enterprise Software Next Gen Apps IoT Blockchain CRM ERP CCaaS UCaaS Collaboration Enterprise Service developer Metaverse VR Healthcare Supply Chain Security Zero Trust Chief Information Officer Chief Experience Officer Chief Technology Officer Chief Data Officer Chief Digital Officer Chief Analytics Officer Chief AI Officer Chief Information Security Officer Chief Product Officer Chief Financial Officer Chief Operating Officer Chief Executive Officer Chief Privacy Officer

Constellation's Business Trends AstroChart for The New C-Suite, Q2 2017

Dion Hinchcliffe

Vice President and Principal Analyst
Constellation Research

Title: About Dion Hinchcliffe Dion Hinchcliffe is an internationally recognized business strategist, bestselling author, enterprise architect, industry analyst, and noted keynote speaker. He is widely regarded as one of the most influential figures in digital strategy, the future of work, and enterprise IT. He works with the leadership teams of large enterprises as well as software vendors to raise the bar for the art-of-the-possible in their digital capabilities. He is currently Vice President and Principal Analyst at Constellation Research. Dion is also currently an executive fellow at the Tuck School of Business Center for Digital Strategies. He is a globally recognized industry expert on the topics of digital transformation, digital workplace, enterprise collaboration, API…...

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Introducing the AstroChart™ of Business Trends for The New C-Suite

Aimed directly at executives, leadership, and key decision makers, Constellation’s brand new AstroChart™ of Business Trends for The New C-Suite provides an accessible visual guide to the highest order business trends and their journey of adoption in the digital enterprise.  The vertical axis rates adoption from mainstream to early adopters to bleeding edge.  The horizontal axis estimates the impact on an organization’s business model, from incremental to transformational to exponential. A key objective of an AstroChart is to move beyond the hype and constraints of the traditional two-dimensional rating grid.

Curated from hundreds of data points from conversations and interviews with and surveys of CXOs and board members over the last year, Constellation has assembled an actionable and highly-impactful AstroChart of how current business trends in the digital enterprise -- specifically at boardroom and C-Suite level -- are evolving and maturing. As is typical for an AstroChart, these trends will be updated approximately every 180 days and will reflect what’s placed into our Futurist Framework and PESTEL model as well as industry inquiries and our primary research.

The New C-Suite Will Build the Future Organization

As a concept and coverage area for Constellation, The New C-Suite represents a leadership-centered focus on the business and technology issues most impacting the digital enterprise today at the most strategic level. This view is tailored especially for CIOs, CDOs, CMOs, CEO, CHROs and other C-level roles. Consequentely, the topics included on this AstroChart either have a) broad applicability to the majority of organizations in the near-term or are b) more cutting-edge yet our analysis shows will become a major priority soon enough.

In terms of inclusion, the Business Trends AstroChart for the New C-Suite covers strategic business topics that are either deeply affected by the modern digital revolution or are actually being created and/or made by possible by it. CXOs are encouraged to become familiar with and fluent in these topics as they will drive both top-level opportunity and disruption today for most organizations in the vast majority of industries and geographies.

As an aid and planning guide for CXOs, the New C-Suite Business Trends AstroChart will have some occasional overlap with other Constellation AstroCharts, such as the overall Business Trends AstroChart, though the topics themselves may have updated positions, depending on the maturity and impact the trends have at a leadership level. We believe this guide will cut through the noise by outlining what matters to the most senior digital leaders.

Figure 1. Constellation’s AstroChart of Business Trends for The New C-Suite

The Business Trends C-Suite Astrochart Shows Broad Impact of Digital on Today's Rapidly Evolving Enterprise

Analysis of the nine categories in The New C-Suite AstroChart provides guidance and source material for strategic planning of market leading organizations as well as those organizations intending to improve their strategic digital posture or maintain a fast follower position.  The nine categories include:

1. Bleeding edge – Exponential. Still on the emerging edge for the enterprise, new startups and a few traditional organizations are using rethinking supply and demand in completely new digital terms that will redefine economic models of what's possible for decades.
2. Bleeding edge – Transformational.  The pervasive reality of digital in everything organizations do, including how they collaborate, communicate, and work is enabling vast new possibilities in how we manage, organize, and operate them. New digital management theories are beginning to emerge, methods to harness change agents at scale have developed, next-gen corporate growth strategy/hacking are now vital enterprise imperatives, and data has become the center of how both strategic and tactical decision making is accomplished.
3. Bleeding edge – Incremental.  A new view of employee that is much more personal, nurturing, and work/life balanced is starting to be realized. How companies are recombining and realigning through mergers and acquisitions is also being transformed by digital. Smart infrastructure, from smart cities and buildings to autonomous vehicles, are providing a new competitive edge for manufacturing to logistics, to name just two major industries being remade.
4. Early adopter – Exponential. Digital transformation programs are now top of mind, leading to new life-affirming digital business models that will sustain organizations into the future. Digital ecosystems, enabled by the steadily growing API economy and demonstrated in the world-beating digital value chains of Apple and Amazon, are now the ultimate strategic objective for most organizations today.
5. Early adopter – Transformational.  The primacy of the digital customer is the reality today and companies are designing their product and service experiences entirely around the customer experience. Digital leadership is evolving with critical roles such as the Chief Digital Officer (though now increasingly a title added to the CIO, for key evolutionary reasons), just as companies begin to use digital to tackle the long-term issue of employee engagement using digital-enabled programs. Industry 4.0 is now a leading strategic blueprint for organizations as well.
6. Early adopter – Incremental.  Many leading digital enterprise trends are not in the most transformative areas, but are critical for modernization, including being a true unified digital brand experience inside/outside of the organization, dealing with increasingly complex digital regulation and compliance, protecting the privacy of customers, accelerating digital delivery through increased agility, consolidating the silos of tech that have emerged along the way towards enterprise-wide digital transformation, and getting IT to arrive to point of value generation much more quickly than in the past.
7. Mainstream – Exponential.  While having been conducted through consortia and NGOs for decades, cross-enterprise collaboration at scale has now become a disruptive force, while employing digital networks to share costs and innovation for competitive advantage has begun to be used in many tactical forms as well. Digital leaders must look well beyond the scale of corporate initiatives to achieve their goals now and in the future.
8. Mainstream – Transformational.  Cultivating the talent of the future, while rethinking staffing and talent sourcing with the growth of the gig economy and related trends has become a major obstacle to fuel the growth of the Fortune 500 and Global 2000. Smart manufacturing is enabling entire robot factories while innnovation management, a staid mainstay of R&D and product development even today in many organizations, is being energized, rethought, outsourced, and co-created in the digital age.
9. Mainstream – Incremental.  Dealing with cloud vendors and the challenges they bring to the table as they end up sourcing most or nearly all of IT in the future, while coping effectively and repeatable with digital crises are critical topics to get right the first time, even if they're not necessarily transformational issues for The New C-Suite. The Center of Excellence, while still performing as a concept, is reaching the end of it's lifecycle but still has legs, and cybersecurity of course, has become one of the hottest topics in the boardroom, requiring focus and leadership like never before, and now must even become part of your brand.

Plan Your Corporate Strategy With The Constellation’s AstroChart for Business Trends for The New C-Suite

Digital leaders can stay abreast of strategic business trends by adoption rates and business model impact using Constellation’s AstroCharts. Use the AstroChart to develop your overall boardroom strategy and to benchmark your organization’s adoption. Constellation notes the following:

Organizations should take an assessment of their board room priorities and use the AstroChart to determine portfolio management.

• Market leaders tend to bet 50% of their portfolio on disruptive projects
• Market leaders tend to bet 30% of their portfolio on bleeding edge projects
• Fast followers tend to bet 80% of their portfolio on early adopter projects
• Exponential – bleeding edge bets require a very informed or founder driven board, innovation fund, or startup partners(s)

Become The New C-Suite

Would you like to take advantage of the Constellation’s AstroCharts for The New C-Suite? How have you built out your strategic investment map? Have you prioritized and fully resources your digital efforts? Learn how organizations can apply this business trends roadmap and Constellation's unique frameworks to disrupt digital businesses.

Note: This chart, as well as the pending Tech Trends for The New C-Suite are part of a forthcoming research report that details how these trends must form the foundation of the next generation of your organization.

Please add your comments, suggestions, notes on additions/omissions, and other commentary below. You can also reach me via email: dion (at) ConstellationR (dot) com or @dhinchcliffe on Twitter.

Finally, please let us know if you need help with your digital business and transformation efforts. Here’s how we can assist:

• Developing your digital business strategy
• Connecting with other digital leaders
• Accessing the latest digital best practices
• Understanding the vendor space
• Identify options for implementation partners
• Validating roadmaps and playbooks
• Providing advisory and education to CXOs and boards

Additional Reading

Constellation's AstroChart For Business Trends, Q4 2016

CEN Member Chat: Trends for 2017 - Using the AstroCharts for Strategic Planning

Data to Decisions Digital Safety, Privacy & Cybersecurity Future of Work Marketing Transformation New C-Suite Next-Generation Customer Experience Tech Optimization Innovation & Product-led Growth Leadership AI ML Machine Learning LLMs Agentic AI Generative AI Analytics Automation B2B B2C CX EX Employee Experience HR HCM business Marketing SaaS PaaS IaaS Supply Chain Growth Cloud Digital Transformation Disruptive Technology eCommerce Enterprise IT Enterprise Acceleration Enterprise Software Next Gen Apps IoT Blockchain CRM ERP finance Customer Service Content Management Collaboration M&A Enterprise Service Chief Customer Officer Chief Digital Officer Chief Executive Officer Chief Financial Officer Chief Information Officer Chief Marketing Officer Chief People Officer Chief Procurement Officer Chief Revenue Officer Chief Supply Chain Officer Chief Experience Officer Chief Technology Officer Chief Data Officer Chief Analytics Officer Chief Information Security Officer Chief Operating Officer

SAP Machine Learning Plans: A Deeper Dive From Sapphire Now

Doug Henschen

Former Vice President and Principal Analyst
Constellation Research

Doug Henschen is former Vice President and Principal Analyst where he focused on data-driven decision making. Henschen’s Data-to-Decisions research examines how organizations employ data analysis to reimagine their business models and gain a deeper understanding of their customers. Henschen's research acknowledges the fact that innovative applications of data analysis requires a multi-disciplinary approach starting with information and orchestration technologies, continuing through business intelligence, data-visualization, and analytics, and moving into NoSQL and big-data analysis, third-party data enrichment, and decision-management technologies. Insight-driven business models are of interest to the entire C-suite, but most particularly chief executive officers, chief digital officers,…...

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SAP Leonardo will harness machine learning to help customers drive automation and innovation. Here’s a closer look at what’s available and what’s coming.

When SAP introduced Leonardo on May 18 at its Sapphire Now event in Orlando, executives insisted that “no single technology can deliver digital innovation on its own.” Yet it’s clear that machine learning is a cornerstone technology that SAP is counting on to help customers come up with innovative new products, new business processes and even new business models.

Leonardo was described as a framework that brings machine learning, big data, analytics, IoT, S4/Hana and the SAP Cloud Platform together with process and industry knowledge and design-thinking methodologies. That’s a lot to consider. As the data-to-decisions analyst at Constellation Research, I focused on learning more about the machine learning aspects of Leonardo. Here’s what I found out.

SAP's goal with machine learning is to turn all applications into intelligent, highly automated
applications with five to seven years.

SAP Standardizes on Google TensorFlow

SAP already had machine learning technologies on hand, including the Automated Predictive Library (APL) gained through its KXEN acquisition and the Predictive Analytics Library (PAL) built into SAP Hana. But Juergen Mueller, chief innovation officer, announced at Sapphire that SAP has settled on Google’s TensorFlow library as its standard for development.

Mueller cited Google’s leadership in machine learning during a joint appearance with Google executive Francisco Uribe, and he said that TensorFlow deep learning capabilities, in particular, would power Leonardo speech recognition, image recognition, text translation, and natural language services. What’s more, Mueller said SAP is working directly with Google’s machine learning team, not just using the open source TensorFlow libraries that are available to anybody.

In a deeper, one-on-one discussion, Dr. Markus Noga, SAP’s vice president of machine learning, told me that APL and PAL are fine for tabular and time-series data and traditional analytics scenarios. TensorFlow, he said, is being applied to challenges including natural language processing, image and video recognition, and unstructured data such as invoice images, PDF documents, email and broadcast video. He also told me that the work with Google began many months before the partnership was formally announced at the Google Cloud Next 17 event in March.

SAP Plans Waves of ML-Powered Applications

Just how will SAP make ML capabilities accessible? Well, in order to jump start innovation, Noga said SAP took an application-led approach, applying ML to common business processes supported in SAP software. The goal was to rethink business processes by automating repetitive, tedious tasks using machine learning while leaving the exceptions and harder corner cases to humans. At Sapphire, SAP unveiled the first of at least three planned waves of machine-learning powered applications:

• SAP Cash Application: Automates the tedious payment-to-invoice matching process, relying on ML to learn from historical payment patterns and automatically clear payments.
• SAP Fraud Management: Employs predictive algorithms to reduce false positives that derail legitimate transactions and false negatives that let fraudulent transactions go through.
• SAP Resume Matching: Uses ML to automate resume screening and match best candidates to jobs descriptions without bias, thereby speeding the recruiting process.
• SAP Brand Impact: Applies deep-learning-based recognition to spot brand and product logos within images and videos, statistically measuring impressions and the return on investment on sponsorships and advertising.
• SAP Service Ticketing: Taps ML to automatically classify, route and respond to inbound social media posts, e-mails, and other customer inquiries.
• SAP Customer Retention: Mines history and monitors digital interactions to capture churn indicators and predict customer behaviors such as cancellations.

As shown in the slide below, which was shared at Sapphire, SAP will soon launch a second wave of applications, including procurement and supply chain apps. A third wave (release date unspecified) will bring the total to nearly 20 apps. Noga described the apps as Lego-like components designed to “snap into place” alongside existing SAP applications. The SAP Cash App, for example, integrates with S4/Hana, while SAP Service Ticketing integrates with the Hybris Service Cloud.

These aren’t apps that are ready to run “out of the box.” They have to be configured for each individual customer. SAP has developed pretrained models based on aggregated data, but Noga said each deployment is fine tuned per customer based on their specific data. “We’ll have large, shared models and small, customer-specific models,” he told me.

SAP has released a first wave of ML-enabled "apps," listed in blue, and it has two more waves of
these "snap-in" process components in the works.

Leonardo ML Services Will Support Custom Apps

SAP says customers will also be able to design and develop custom apps using the SAP Leonardo Machine Learning services. At this writing, ten Leonardo Machine Learning APIs are available on the SAP API Business Hub. The idea is to combine your data – the higher the scale, the better – with these services to “add intelligence to your application.”

As described by SAP executives, you won’t need data scientists to build ML-powered custom apps. Rather, developers will invoke services through APIs and add small snippets of code. In a solution briefing at SAP.com/ML, the company cited multiple use case scenarios.

• Manufacturers can use image classification and image feature-extraction services to support quality inspections while service organizations can use these services to inspect assets for wear or defects and automatically order required parts.
• Brands can use natural language services to monitor social media and detect what customers are saying about your products or brand and identify trends that might shape future products.
• Retailers can use image recognition to enable customers to upload images to simplify product searches
• Logistics and sales can use ML services to anticipate changes in demand or inventory requirements.

My Take on SAP Leonardo Machine Learning

I appreciate that SAP has couched this as a machine learning initiative rather than contributing to today’s rampant “artificial intelligence” hyperbole. I also appreciate that SAP has partnered with Google and is using TensorFlow, a leading, open-source library, rather than falling prey to not-invented-here thinking and coming up with a proprietary approach.

If the experience of BASF is any indication, customers can look forward to substantial benefits from the ML-powered apps. BASF was a beta customer and development partner for the SAP Cash Application. Speaking at Sapphire, Wiebe van der Horst, CIO at the chemical company, said SAP R3 is able to automatically match only about 40% of payments to invoices out of the box. By adding hard-coded rules, BASF has achieved automation rates as high as 70%, but that has required time-consuming maintenance of rules. Using the SAP Cash Application, Van der Horst says BASF has automated as much as 94% of payment-to-invoice matching.

What’s not clear, and what will have to be validated by customer experience, is just how much effort will be required to implement and customized the ML-powered app components or to build custom apps with ML services from the SAP Cloud Platform. “It was a good engagement with SAP, but we were very early,” said Van der Horst. “With the packaging into Leonardo, it should be much easier to deploy.”

What also has yet to be seen is how quickly SAP customers will embrace Leonardo and just how differentiating these capabilities can be for customers and for SAP. Noga was refreshingly honest when he admitted that SAP’s data will ultimately stand as the differentiator. Any company can make use of TensorFlow because it is open source, he said. Any company can use GPUs to power deep learning, as SAP is exploring on its cloud platform. And any company can go to Open.ai and download whitepapers to learn how to best use machine learning, he said.

“But not every company has an Ariba network transacting more than $900 billion in commerce annually, or a Concur serving 47 million business travelers per year, or a Fieldglass placing more than 3 million freelancers in positions every year,” said Noga.

Throw in S4/Hana, Business ByDesign, SuccessFactors and SAP’s other, data-generating assets, and there’s good reason to expect that SAP will be able to come up with powerful shared models that will fuel customer-specific innovation.

Related Reading:
Oracle Launches Adaptive Intelligent Apps for CX
Inside Salesforce Einstein Artificial Intelligence
Google Cloud Invests In Data Services and ML/AI, Scales Business

Data to Decisions Tech Optimization Innovation & Product-led Growth Future of Work Next-Generation Customer Experience Digital Safety, Privacy & Cybersecurity SAP 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 Customer Officer Chief Digital Officer Chief Executive Officer Chief Financial Officer Chief Information Officer Chief Marketing Officer Chief People Officer Chief Procurement Officer Chief Technology Officer Chief AI Officer Chief Data Officer Chief Analytics Officer Chief Information Security Officer Chief Product Officer

“Radical Candor” Author Kim Scott Keynoting at Constellation's Connected Enterprise 2017

Aubrey Coggins

Constellation Research

Aubrey (Levinstone) Coggins manages Constellation's marketing and communications programs and is the producer of DisrupTV, a weekly Web series on innovation and the enterprise.  She previously served as a senior manager of corporate communications at Egnyte and held account roles at Access Communications and The Hoffman Agency. Born and raised in Texas, she received a bachelor's degree in Public Relations from The University of Texas at Austin – Hook ‘em!   ...

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Learn how to be a kickass boss without losing your humanity live from the main stage at Constellation's Connected Enterprise 2017. We are excited to share that Kim Scott, author of “Radical Candor,” will be joining us at this year’s event in Half Moon Bay.
 

Bad bosses kill innovation, stifle growth, increase costs, and create instability. Well-meaning people become terrible bosses without even realizing it! Some may say, “If you don’t have anything nice to say, don’t say anything at all.” This advice may work for your personal life, but it can be a disaster when adopted by managers. Kim will share her top principles to help strong leaders become effective bosses to inspire and build up their teams during her keynote. 
 
Beyond being an inspiring author, Kim is also the co-founder and CEO of Candor, Inc. Prior to founding Candor, Inc., Kim was a CEO coach at Dropbox, Qualtrics, Twitter, and several other Silicon Valley companies. She was a member of the faculty at Apple University, developing the course “Managing at Apple,” and before that led AdSense, YouTube, and Doubleclick Online Sales and Operations at Google, among other roles. She received her MBA from Harvard Business School and her BA from Princeton University. Kim and her husband, Andy Scott, are parents of twins and live in the San Francisco Bay Area.
 
If you missed it, Kim joined us on DisrupTV. Check it out for a sneak peek at some of what she’ll discuss at the show.
 
You don’t want to miss this great keynote! Be sure to secure your spot for Constellation's Connected Enterprise, CCE 2017, by July 21 to get the best discount on passes. See you in October!

Progress Report - Ceridian pushes onward across the board

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 Ceridian’s yearly analyst meeting in New York, held May 24th till 25th 2017, at the W Union Square in New York. The analyst meeting was very well attended with close to 30 analysts in the audience.

 

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



 

[Factual Correction: Ceridian does NOT miss Onboarding, its available, see below.]

No time to watch – here is the 1-2 slide condensation (if the slide doesn’t show up, check here):



 

Progress Report - Ceridian pushes onwards across the board from Holger Mueller

Want to read on? Here you go: 

Always tough to pick the takeaways – but here are my Top 3:


 

Ossip opens CENaday17 (picture credit to Lisa Sterling)

Suite strengthening – When comparing the major HCM players, Ceridian has the most functionality on a single platform, given assets in HR Core, Payroll, and WFM. Ceridian has acknowledged that it lacked in Talent Management and with the announcement of Ceridian Learning has closed one more functional gap on Talent Management (it now has Recruiting, Onboarding, Performance and Compensation Management, the remaining ones are Succession and Career Planning, and Ceridian has plans for them as well). In the area of user experience Ceridian has moved most of their user interface to HTML5, which gives it a consistent look & feel across browsers and platforms. As a remarkable engineering feat, Ceridian was able to bring the critical scheduling functionality to HTML5 as well, and with that eliminating one of the last bastions of Microsoft Silverlight (Ceridian’s previous user interface platform). Good to see for users who are in for a much more 21st century experience than with Silverlight. 


 

5 Dayforce Differentiators

Predictive Analytics – An area all HCM vendors are playing some sort of catch up is in the area of helping users make better decisions and Ceridian is releasing its predictive analytics offering with recommendations (lime many other vendors have) on flight risk. It speaks for the honesty / modesty of the vendor not to be tempted to call this Artificial Intelligence (AI) as many vendors, especially startups do these days. Now it will be important to quickly add further areas helping users to make better decisions around HR questions.


 

Dayforce in 1 Slide

Developer and Partner Ecosystems – All SaaS vendors need to grow and nurture ecosystems – both from a developer and partner perspective. Ceridian was behind in this area when it comes to developers, and is addressing this now with the launch of the Ceridian Developer Network. A demo of the community and documentation pages looked compelling – now it will be interesting to see adoption and what developers will build. They will come from partners, where Ceridian has created more traction as well, sharing a few partner under NDA, NetSuite being the one we can mention here.


 

MSS in Dayforce

MyPOV

Good to see Ceridian make progress across the board. It didn’t make the Top 3 – but a new (and of course faster) implementation methodology is another key area that the vendor is rolling out. A key ingredient for fast go lives is to have more integration options available out of the box, and Ceridian has not less than 1400 today. Both impressive and a sign of complexity of HR solutions and a key reason why implementations take long. Now it will be key to see if Ceridian can bring implementation times further down. Good to see the addition of Learning, as well as the ecosystem progress. W

On the concern side Ceridian will have to consider some technology decisions in regards of potentially choosing an IaaS vendor as partner, it needs to move into Hadoop / MapReduce area (to power e.g. Benchmarking, DaaS and more). And conversational user interfaces are emerging, a key usability improvement – as language is a more natural way to interact with software than through a keyboard and mouse. To be fair, these are challenges for most vendors in the industry at the moment.

But for now, and overall, good progress by Ceridian, which is at the verge of finishing the transition from a mostly mainframe based service bureau to enterprise SaaS vendor. Only 25% of the Ceridian business are still in payroll bureau and that area is shrinking quickly. That has been replaced by a single system that for a North American target user, only lacks very small talent management automation pieces. Stay tuned.

 

 

 

Future of Work Tech Optimization Innovation & Product-led Growth New C-Suite Data to Decisions Next-Generation Customer Experience Revenue & Growth Effectiveness Marketing Transformation Digital Safety, Privacy & Cybersecurity AI Analytics Automation CX EX Employee Experience HCM Machine Learning ML SaaS PaaS Cloud Digital Transformation Enterprise Software Enterprise IT Leadership HR Chief Information Officer Chief Customer Officer Chief People Officer Chief Human Resources Officer Chief Experience Officer