Introducing The New NTT DATA

Liz Herbert

This week, NTT DATA brought together a select community of industry and financial analysts to introduce the new NTT DATA, following the recent acquisition of Dell Services. Though not a well-known brand to most, NTT DATA wants to change that and has launched a series of new campaigns to run on TV and in major publications such as The Economist.

This $4.3B+ services firm is a rollup of many acquisitions including Keane, Carlisle and Gallagher Consulting Group, Optimal, Intelligroup, Centerstance, and most recently Dell Services (which included the erstwhile Perot Systems) -- and forms the largest operating company of Japan-based NTT DATA Corporation. The provider's capabilities span consulting and technology implementation and support, including SAP and Oracle and Salesforce services. NTT DATA is strongest in healthcare and life sciences, financial services, manufacturing, and public sector. NTT DATA boasts clients all around the globe – from Japan to the US to Western Europe and beyond.

NTT DATA has a unique and leading partnership with Dell (due to the Dell Services acquisition) and has a network of companies in the broader NTT Group such as DOCOMO, Dimension Data, and NTT Comms – that it can seamlessly leverage for mobile, data center, and network needs. For example, NTT DATA has collaborated with NTT Communications and Dimension Data when clients seeks a broader range of hosting and infra services related to SAP HANA deployments. NTT Group also has substantial investments in R&D and innovation including in advanced technologies such as sensors and voice recognition and holograms, which NTT DATA can bring to bear for clients.

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Yes, Cloud Is Still Safe Despite The AWS Outage - UPDATE

Dave Bartoletti

UPDATE 2016-03-02:

Less than 48 hours after the failure, AWS has published a detailed analysis of what went wrong. As we'd hoped, the analysis is extremely transparent, direct, and outlines the actions AWS is taking to mitigate the risk of future failure. If you don't have time to read the details, here's the lowdown:

  • As we expected (see below), the inititating event was a human error. An authorized admin executed a script to take some parts of S3 off line, but took more than needed off line at once. The user was authorized and the script worked, but it should have had additional safety checks (limits).
  • Restarting such a large subsystem took longer than expected. A restart of this magnitude had not been tested recently. As a key part of the S3 system in the affected region, the restart delay caused the S3 APIs to become unavailable.
  • The AWS Service Health Dashboard admin console could not be updated because it, too, depended on S3 in the affected region.

What It Means:

Our original advice for AWS customers below stands: check your apps for dependence on a single S3 region. In addition,

  • Test your operational scripts. Do you have a maintenance script you have't run for a while? Check is now for limits.
  • Isolate your monitoring tools from your production systems. You can't monitor a system from the inside while it's failing.
  • Think big in your DR and availability planning. Test a larger failure than usual. Rare events over a long enough period of time...are no longer rare.
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The Cloud Is Disrupting Hadoop

Brian  Hopkins

Forrester has seen unprecedented adoption of Hadoop in the last three years. We estimate that firms will spend $800 million in Hadoop software and related services in 2017. Not surprisingly, Hadoop vendors have capitalized on this — Cloudera, Hortonworks, and MapR have gone from a “Who?” to “household” brands in the same period of time.

But like any good run, times change. And the major force exerting pressure on Hadoop is the cloud. In a recent report, The Cloudy Future Of Hadoop, Mike Gualtieri and I examine the impact the cloud is having on Hadoop. Here are a few highlights:

●     Firms want to use more public cloud for big data, and Hadoop seems like a natural fit. We cover the reasons in the report, but the match seems made in heaven. Until you look deeper . . .

●     Hadoop wasn’t designed for the cloud, so vendors are scurrying to make it relevant. In the words of one insider, “Had we really understood cloud, we would not have designed Hadoop the way we did.” As a result, all the Hadoop vendors have strategies, and very different ones, to make Hadoop relevant in the cloud, where object stores and abstract “services” rule.

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DevOps, No Longer Just For “Unicorns”

Robert Stroud

The born-digital “unicorn” companies such as Etsy, Google and Netflix, are pioneers of modern DevOps, but BT leaders at companies of all ages, sizes, and types are now eagerly pursuing the same principles.[i] The pressure for speed and quality is DevOps becoming pivotal for all organizations. For example, KeyBank is leveraging DevOps to quickly deliver business new customer capability using streamlined coordination between application development and operations. DevOps is allowing KeyBank to shorten delivery time by up to 85% and reduce defects by at least 30%.  According to a 2016 State of DevOps report, high performers are twice as likely to exceed their organization’s profitability, market share, and productivity goals.[ii]

Understand Your Company's Requirements For Modern Service Delivery

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Don’t Be Fooled -- DAM Is Still Relevant

Nick Barber
If you think digital asset management solutions are a relic of the past or a graveyard of static assets then you’re dead wrong. While complementary technologies like web content management, content marketing platforms, and product information management offer DAM-like capabilities, most marketers still prefer to use a dedicated DAM.
But how do you determine if you need a dedicated DAM or if you can use adjacent technologies to store your rich media assets? That’s exactly what we answer in Eight Questions To Consider When Investing In Digital Asset Management.
 
Keep in mind these key considerations when weighing a DAM investment:
 
  • DAM can serve as the central hub for your content. DAM solutions of today sit squarely between upstream creative workflows and downstream delivery mechanisms. If you have multiple systems that need to access rich media content, a dedicated DAM is the core repository that serves that content into a presentation layer. 
 
  • DAM supports complex workflows and multiple stakeholders. DAM systems have integrated components of marketing resource management (MRM) technologies around planning and allocation of resources. DAM allows your team to pass around an asset for creative and legal approval. Each stakeholder can annotate assets and review iterations before creative teams finalize assets. 
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Did Move 37 Signal The Impending Death Of The Financial Services Industry As We Know It?

Nigel Fenwick

A couple of years ago I wrote a post predicting a new business paradigm for financial services. You may have read this post and been skeptical. Maybe you thought it wasn't realistic. If so, you may be wishing you were paying more attention very soon. Read on.

This week I spoke on "The Experience Economy" at a client conference where attendees were primarily from the financial services industry. At the conference the opening keynote was by a renowned "futurist". Most futurists don't claim to predict the future, they extrapolate the trends they see around them today to help prepare you for what is likely to come. Interestingly, that's exactly what analysts at Forrester do every day. Perhaps that's why I feel "futurists" are over-hyped – I had expected more from the keynote.

In side conversations with attendees I shared my own "futurist" thoughts on the impending death of the financial services industry. Indeed after chatting for a while, one attendee even suggested I should rename my speech "The Death Of Financial Services" just to get people's attention. It seems many people in the industry haven't been paying enough attention to what's going on in technology.

Let's begin with Google's AlphaGo AI. In March of 2016 Google's AI beat world Go champion, Lee Sidol. To understand the enormity of this you need to understand a little about the game of Go as compared to Chess.

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Consolidations In Data Governance Tooling Are Emphasizing DG importance For Future Data Usages

Henry Peyret

While data governance has been a business need for years, it is becoming more visible as a center-stage business concern. Driving this shift are new regulations and new requirements addressing consumer data ownership, privacy, and business data monetization. Two of the most important regulations are the European General Data Protection Regulation (GDPR), and the Basel Committee on Banking Supervision regulation 239 (BCBS 239). Forrester recognized this change three years ago when we described the evolution of data governance away from “data  input  quality” toward “data usage,” which we call data governance 2.0. Some emerging data governance solution vendors, like Collibra and GDE, have moved aggressively to address the new requirements of data governance 2.0. However, larger established vendors like IBM, Informatica, SAS, and SAP have moved more slowly, instead prioritizing investments in developing a platform supporting systems of insight.

Two recently announced acquisitions demonstrate that the larger established vendors now recognize the need for renewed data governance offerings:

  • Informatica’s purchase of the Diaku Axon platform. Announced on February 22, the acquisition of the Diaku Axon platform adds business-oriented capabilities like vertical knowledge (finance) and support of regulations such as GDPR and BCBS 239 to Informatica’s current data governance execution capabilities (DQ, MDM, security/masking).
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The 2017 Enterprise Architecture Awards: Driving The Customer-Obsessed Digital Business

Alex Cullen

Just about every company Forrester works with tells us they are driving to become Digital Businesses.  But not just ‘digital’ as a technology imperative – they are investing in digital to dramatically change how they serve their customers – with target benefits rippling over to customer retention and acquisition.  We call this focus Customer-obsessed Digital Business. 

There are four critical success factors for customer-obsessed digital business:

  • They are customer-led. Their customers – what they value and how to best serve their needs — are the center of business strategy and their operating model.
  • They are insight-driven.  Decisions — both the day-to-day operational as well as the strategic — are based on deep insights into their customers, markets, and the broader ecosystem.
  • They move fast.  They use speed to continually evolve how they   go to market and serve their customers. They balance opportunity — which must be responded to quickly — with caution — a desire  to ‘be perfect  out of the gate’.
  • They are connected.   They break down silos so as to have a shared understanding of business goals, and use a multi-discipline approach executing on strategy. 
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Five Shades Darker? – What The Diageo “Indirect Access” Judgement Really Means For SAP Customers

Duncan Jones

At last, exactly two years later, the long-awaited sequel to my hit, if overly censored, blog post: Five Shades Of Grey (How software buyers and license managers should be compliant without being submissive). The trigger is the SAP vs Diageo verdict, which generated a lot of hysterical blogging and tweeting with dire predictions for SAP customers. IMO most commentators have overlooked the crucial parts of the judgment and therefore significantly overstated the case’s negative implications for SAP customers. I believe the judgement has actually made this grey area slightly more black-and-white. My analysis, subject to the usual IANAL disclaimer, is that the real implications are:

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What Exactly The Heck Are Prescriptive Analytics?

Mike Gualtieri

Prescriptive analyticsPrescriptive analytics is about using data and analytics to improve decisions and therefore the effectiveness of actions. Isn’t that what all analytics should be about? A hearty “yes” to that because, if analytics does not lead to more informed decisions and more effective actions, then why do it at all? Many wrongly and incompletely define prescriptive analytics as the what comes after predictive analytics. Our research indicates that prescriptive analytics is not a specific type of analytics, but rather an umbrella term for many types of analytics that can improve decisions. Think of the term “prescriptive” as the goal of all these analytics — to make more effective decisions — rather than a specific analytical technique. Forrester formally defines prescriptive analytics as:

"Any combination of analytics, math, experiments, simulation, and/or artificial intelligence used to improve the effectiveness of decisions made by humans or by decision logic embedded in applications."

Prescriptive Analytics Inform And Evolve Decision Logic Whether To Act (not not act) And What Action To Take

Prescriptive analytics can be used in two ways:

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