Observations From Mobile World Congress From A B2B Perspective

Dan Bieler

Photo: Bergman

This year’s big technology themes at Mobile World Congress (MWC) can be summarized as big data, Internet of Things (IoT), 5G, and virtual/augmented reality (VR/AR). These themes will be important for B2B players and especially for revolutionizing customer experiences, optimizing industrial and operational processes, and boosting service enhancements. My recently published report, “Brief: Observations From Mobile World Congress That Will Shape Your B2B Digital Transformation,” summarizes our observations from MWC 2016 and the key takeaways for developing B2B digital transformation strategies. We observed that:

  • The main MWC themes are increasingly intertwined. VR and AR will enhance user experiences on mobile devices and expand mobile moments. Big data will provide context-based, and more relevant, insights and use cases — including for VR and AR solutions.
  • Mobile data is driving digital customer experience. Enterprise apps are increasingly integrated with business processes. In turn, enterprise apps help generate data-derived insights from mobile objects and devices. This will help transcend app silos to generate a single view of the customer who benefits from a better end-to-end user experience.
  • Bigger is not necessarily better. MWC feels near its zenith in terms of visitor numbers and industry impact. In 2016, nearly 101,000 attendees from 204 countries made it to MWC — more than ever. Yet, for business users MWC still falls short of translating mobility into tangible business benefits for digital transformation.
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kCura Puts the CAAT Into The Bag . . . Acquires Long-time Partner Content Analyst Company

Cheryl McKinnon

We've seen another acquisition in the shifting eDiscovery market this week as kCura, the developer of Relativity, announced its acquisition of Content Analyst Company, the brains behind the CAAT analytics engine (kCura’s press release is here). The acquisition is not entirely surprising. kCura has been relying on the CAAT engine to power its analytics offering for eight years. According to kCura, use of its Relativity Analytics offering “has grown by nearly 1,500 percent” since 2011, with more than 70% of current kCura’s customers with licenses.

What does this acquisition mean for kCura, its customers, and Content Analyst Company customers?

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Reflections on my First Year as an IAM Analyst

Merritt Maxim

At the RSA Conference two weeks ago, a common question from both clients and former colleagues -- “So, what’s it like being analyst?” -- led me to write this blog post.

In the interest of full disclosure, there were no massive epiphanies during my first year, but the transition from being on the vendor side for 15+ years to an analyst provided some perspectives, listed here in no specific order:

·         The security industry is massive. Some former colleagues who learned of my new role often joked, “So you’ve gone to the dark side.” The irony is that analysts are actually removed from the penumbra of the four to six competitors that you obsess about when you work for a vendor. Once removed from this tunnel vision, you become more aware of the diversity of the infosecurity ecosystem. As an example, the number of exhibiting vendors at the RSA Conference is up 45% since 2014, to over 550 vendors. This reflects the ongoing vitality and demand for cybersecurity but also presents challenges to today’s security and risk professionals who have to evaluate an increasingly large and dynamic vendor landscape.

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Microsoft's Project Rigel pushes Skype Meeting everywhere

Nick Barber

You don't need a $20,000 computer to collaborate on a Word doc anymore. Microsoft's Project Rigel will bring a Skype Meeting experience to any meeting room with a display or projector. 

Previously the videoconferencing collaboration technology was only available to users of Microsoft Surface Hub, a large screen computer ranging in price from $9,000 to $22,000. 

If you're not familiar with how Surface Hub works or what collaboration with it may look like, here's a video.

Surface Hub married document collaboration, whiteboarding and video conferencing into a single system with the obvious drawback of the initial hardware investment. With wide ranging enterprise implications for AD&D pros, Project Rigel will: 

  • Democratize the technology. Project Rigel lowers the barrier to entry to any meeting room with a display or projector. 
  • Force Windows 10 upgrades. Rigel will only work on machines running Windows 10 so for enterprises that are holding back, this could be the push needed. 
  • Make Office a stronger application for collaboration. Google's suite of productivity apps led the charge in collaboration, making it free and easy co-edit documents, spreadsheets and slideshows. With this announcement, Microsoft could recapture lost market share. 
  • Push hardware investments in Polycom and Logitech. The two VC companies partnered with Microsoft and certified elements of their portfolios to work with Project Rigel. These include the Polycom RealPresence Trio and CX5100 and Logitech ConferenceCam Connect, ConferenceCam GROUP and PTZ Pro Camera. 
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Continuing Trend Of Data Exploration - Tableau Closes One Of The Remaining Gaps In Its Portfolio, Acquires HyPer

Boris Evelson
One of the reasons for only a portion of enterprise and external (about a third of structured and a quarter of unstructured -) data being available for insights is a restrictive architecture of SQL databases. In SQL databases data and metadata (data models, aka schemas) are tightly bound and inseparable (aka early binding, schema on write). Changing the model often requires at best just rebuilding an index or an aggregate, at worst - reloading entire columns and tables. Therefore many analysts start their work from data sets based on these tightly bound models, where DBAs and data architects have already built business requirements (that may be outdated or incomplete)  into the models. Thus the data delivered to the end-users already contains inherent biases, which are opaque to the user and can  strongly influence their analysis. As part of the natural evolution of Business Intelligence (BI) platforms data exploration now addresses this challenge. How? BI pros can now take advantage of ALL raw data available in their enterprises by:
 
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Think You Want To Be "Data-Driven"? Insight Is The New Data

Brian  Hopkins

It’s been a while since I’ve blogged; not because I’ve had nothing to say, but rather because I’ve been busy with my colleagues Ted Schadler, James McCormick, and Holger Kisker working on a new line of research. We wanted to examine the fact that business satisfaction with analytics went down 21% between 2014 and 2015, despite big investments in big data. We found that while 74% of firms say they want to be “data-driven,” only 29% say they are good at connecting analytics to action. That is the problem.

Ted Schadler and I published some initial ideas around this idea in Digital Insights Are The New Currency Of Business in 2015. In that report, we started using the phrase digital insight to talk about what firms were really after ― action inspired by new knowledge. We saw that data and analytics were only means to that end. We also found that leading firms were turning data into insight and action by building systems of insight ― the business discipline and technology to harness insights and consistently turn data into action.

Here is a key figure from that report:

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Software-Defined Data Center, coming ready or not!

Robert Stroud

As we embark in the era of “cloud first” being business as usual for operations, one of the acronyms flying aground the industry is SDDC or the Software Defined Data Center.  The term, very familiar to me since starting with Forrester less than six months ago, has become an increasing topic of conversation with Forrester clients and vendors alike. It is germane to my first Forrester report “Infrastructure as Code, The Missing Element In The I&O Agenda”, where I discuss the changing role of I&O pros from building and managing physical hardware to abstracting configurations as code. The natural extension of this is the SDDC.

 

We believe that the SDDC is an evolving architectural and operational philosophy rather that simply a product that you purchase. It is rooted in a series of fundamental architectural constructs built on modular standards-based infrastructure, virtualization of and at all layers, with complete orchestration and automation.

 

The Forrester definition of the SDDC is:

 

A SDDC is an integrated abstraction model that defines a complete data center by means of a layer of software that presents the resources of the data center as pools of virtual and physical resources, and allows them to be composed into arbitrary user-defined services.

 

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Seven New Buying Patterns Reshape The 2017 Enterprise Collaboration Market

Craig Le Clair

The enterprise collaboration (EC) landscape is rife with innovative products that begin with a narrow feature set (e.g., Box for document collaboration or Slack for group messaging). Viral growth and company value often follow — along with competitors that target the newly identified market. A fragmented and overlapping landscape results as newer entrants pursue broader EC goals. Over the next two years, firms will purchase enterprise collaboration in seven fundamentally different ways. The report below aims to helps companies sift through confusing use cases to best apply EC.

What did we find? Firstly, the torrent of information, lack of critical-mass adoption, and context switching create barriers to effective EC adoption, and secondly, platforms that support lead applications, targeted group messaging, project management tools, external communities, or just finding expertise in an organization are the winning formulae for many firms.

Read the report here: Seven New Buying Patterns Reshape The 2017 Enterprise Collaboration Market.

The Blind Spot For Man-Machine Collaboration

Craig Le Clair

We are kicking off a research series on the future of work for "production services," with a focus on administrative and customer service jobs where a high degree of automation is projected. Basically, cognitive computing may do to white-collar jobs what robotics did to blue-collar jobs. This may lead to radically different work patterns and unintended consequences. Enterprises risk blindly bringing in advanced analytics without a best practice approach that covers change management and identifies gaps in the formerly human-driven process that affect compliance, customer experience, and efficiency. To date, few are doing serious thinking about a force that will lead to a restructuring of work that is more profound and far-reaching than the transition from the agricultural to the industrial age. 

Please take or send this survey to businesses contemplating or using smart machines to augment human-based processes. They will receive a free copy of the report.

Thank you.

 https://forrester.co1.qualtrics.com/SE/?SID=SV_6RI5qO6FJ2S13z7

 

 

 

Digital Business Ecosystems Rewrite The Rules Of Business

Dan Bieler

Customers use digital experiences to help satisfy their needs every day. Digital tools expand our experiences and change our lives at home and at work. Digital is now intertwined into the fabric of our lives at work and at home. We expect digital tools to add value to us no matter what we’re doing. Some 89% of executives believe digital will disrupt their business in the next twelve months.

To keep up with the rapidly evolving digital expectations of customers, businesses must not just develop a digital strategy but also become a digital business. This means more than building a few bolt-on mobile apps. It’s a fundamental rethink of your business model within a dynamic digital ecosystem that impacts every aspect of your business.  

Transforming into a digital business is complex enough. But the rapid evolution of digital products and services makes it even more challenging for business leaders to navigate the landscape of digital business. Slow innovation cycles jeopardize the survival of traditional firms, and winning businesses will move toward an ecosystem business model. Digital businesses need to embrace digital ecosystems that support the continuous exchange of information and data to create value.

To master digital business, business leaders must minimize the complexity of digital ecosystems and learn to create value within such ecosystems. Digital ecosystems drive faster innovation, more efficient production, and more agile go-to-market activities, because:

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