The Theory of Data Trust Relativity

Michele Goetz

Since the dawn of big data data quality and data governance professionals are yelling on rooftops about the impact of dirty data.  Data scientists are equally yelling back that good enough data is the new reality.  Data trust at has turned relative.

Consider these data points from recent Forrester Business Technographics Survey on Data and Analytics and our Online Global Survey on Data Quality and Trust:

  • Nearly 9 out of 10 data professionals rate data quality as a very important or important aspect of information governance
  • 43% of business and technology management professionals are somewhat confident in their data, and 25% are concerned
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Episode Three Of The China Cloud War: The Rise Of AWS And Azure’s Critical Moment

Charlie Dai

The cloud market in China is changing fast. The official launch of the commercial operations of Microsoft Azure (Azure) earlier this year started a new chapter (as detailed in my March blog post), while last weekend’s Amazon Web Services (AWS) summit was held in China for the first time and announced the third episode of this war. AWS is speeding up building its ecosystem and starting to challenge both Microsoft’s early-mover advantage and the market share of other global and local players.

To help CIOs and enterprise architects set up their hybrid cloud strategy in the region, we’ve put together a brief comparison of the Azure and AWS offerings and ecosystems in China:

  • Operations.Microsoft made Azure available for preview in China on June 6, 2013 and announced its commercial launch on March 25, 2014, stating that it would be operated by 21ViaNet and have a service-level agreement (SLA) of 99.95%. It has two dedicated data centers in Beijing and Shanghai. AWS announced the availability of its “Beijing region” in China on December 18, 2013, but it still hasn’t announced its official commercial launch, other than a partnership with Cloud Valley. Currently, AWS has only one data center in Ningxia province.
  • Offerings.Azure offerings cover services for compute (VM, websites, cloud services, etc.); data (storage, SQL database, HDInsight, backup, etc.); applications (service bus, Active Directory, CDN, media services, notification services, etc.); and networking (virtual network, Traffic Manager, etc.). Azure also provides other solutions, such as infrastructure services, data management, and application development and deployment.
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The Cloud Foundry Foundation: The Key Driver Of A Breakthrough In PaaS Adoption

Charlie Dai

The rise of the DevOps role in the enterprise and the increasing requirements of agility beyond infrastructure and applications make the platform-as-a-service (PaaS) market one to watch for both CIOs and enterprise architecture professionals. On December 9, the membership of Cloud Foundry, a major PaaS open source project, announced the formation of the Cloud Foundry Foundation.

In my view, this is as important as the establishment of OpenStack foundation in 2012, which was a game-changing move for the cloud industry. Here’s why:

  • PaaS is becoming an important alternative to middleware stacks. Forrester defines PaaS as a complete application platform for multitenant cloud environments that includes development tools, runtime, and administration and management tools and services. (See our Forrester Wave evaluation for more detail on the space and its vendors.) In the cloud era, it’s a transformational alternative to established middleware stacks for the development, deployment, and administration of custom applications in a modern application platform, serving as a strategic layer between infrastructure-as-a-service (IaaS) and software-as-a-service (SaaS) with innovative tools.
  • Cloud Foundry is one major open source PaaS software. Cloud Foundry as a technology was designed and architected by Derek Collison and built in the Ruby and Go programming languages by Derek and Vadim Spivak (wiki is wrong!). VMware released it as open source in 2011 after Derek joined the company. Early adopters of Cloud Foundry include large multinationals like Verizon, SAP, NTT, and SAS, as well as Chinese Internet giants like Baidu.
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Elephants, Pigs, Rhinos and Giraphs; Oh My! – It's Time To Get A Handle On Hadoop

Brian  Hopkins

By now you have at least seen the cute little elephant logo or you may have spent serious time with the basic components of Hadoop like HDFS, MapReduce, Hive, Pig and most recently YARN. But do you have a handle on Kafka, Rhino, Sentry, Impala, Oozie, Spark, Storm, Tez… Giraph? Do you need a Zookeeper? Apache has one of those too! For example, the latest version of Hortonworks Data Platform has over 20 Apache packages and reflects the chaos of the open source ecosystem. Cloudera, MapR, Pivotal, Microsoft and IBM all have their own products and open source additions while supporting various combinations of the Apache projects.

After hearing the confusion between Spark and Hadoop one too many times, I was inspired to write a report, The Hadoop Ecosystem Overview, Q4 2104. For those that have day jobs that don’t include constantly tracking Hadoop evolution, I dove in and worked with Hadoop vendors and trusted consultants to create a framework. We divided the complex Hadoop ecosystem into a core set of tools that all work closely with data stored in Hadoop File System and extended group of components that leverage but do not require it.

In the past, enterprise architects could afford to think big picture and that meant treating Hadoop as a single package of tools. Not any more – you need to understand the details to keep up in the age of the customer. Use our framework to help, but please read the report if you can as I include a lot more there.

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When CRM Fails On Customer Information

Michele Goetz

Early this year a host of inquires were coming in about data quality challenges in CRM systems.  This led to a number of joint inquires between myself and CRM expert Kate Legget, VP and Principal Analyst in our application development and delivery team.  Seems that the expectations that CRM systems could provide a single trusted view of the customer was starting to hit a reality check.  There is more to collecting customer data and activities, you need validation, cleansing, standardization, consolidation, enrichment and hierarchies.  CRM applications only get you so far, even with more and more functionality being added to reduce duplicate records and enforce classifications and groups.  So, what should companies do?

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Customer Obsession Set To Disrupt BPM Market In 2015

Clay Richardson

In 2014, the top priorities for business process management (BPM) initiatives focused on extending mission critical business processes to support the mobile workforce and redesigning business processes to deliver exceptional customer experiences. During 2014, Forrester also noticed a growing appetite to move business critical processes into the cloud using BPM platform-as-a-service solutions. And, although customer sentiment for BPM was mixed to negative in 2014, software vendors reported respectable double-digit revenue growth for BPM solutions. Sounds like it’s time to pop the bubbly and celebrate, right?

Not quite yet. In 2015, BPM will fight to expand its relevance in the front office and will need to shed serious weight to better align with age of the customer imperatives that prioritize speed-to-market over analysis and complexity – traditional hallmarks of the BPM discipline and software solutions.  Together, with my colleague Craig Le Clair, we expect 2015 to be a tipping point for the BPM market.  In 2015, customer-obsession – the relentless focus on winning, retaining, and serving customers – will disrupt and reshape the entire ecosystem for BPM:
 

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Predictions For The Data Economy In 2015

Gene Leganza
The data economy — or the system that provides for the exchange of digitized information for the purpose of creating insights and value — grew in 2014, but in 2015 we’ll see it leap forward significantly. It will grow from a phenomenon that mainstream enterprises view at arm’s length as interesting to one that they embrace as a part of business as usual. The number of business and technology leaders telling us that external data is important to their business strategy has been growing rapidly -- from one-third in 2012 to almost half in 2014.
 
Why? It’s a supply-driven phenomenon made possible by widespread digitization, mobile technology, the Internet of Things (IoT), and Hadooponomics. With countless new data sources and powerful new tools to wrest insights from their depths, organizations will scramble to use them to know their customers better and to optimize their operations beyond anything they could have done before. And while the exploding data supply will spur demand, it will also spur additional supply. Firms will be taking a hard look at their “data exhaust” and wondering if there is a market for new products and services based on their unique set of data. But in many cases, the value in the data is not that people will be willing to pay money for bulk downloads or access to raw data, but in data products that complement a firm’s existing offerings.
 
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The IBM/Tencent China Partnership: The New Dance Of The Elephants

Charlie Dai

On October 31, IBM and Tencent announced that they will work together to extend Tencent’s public cloud platform to the enterprise by building and marketing an industry-oriented public cloud.

Don’t be fooled into looking at this move in isolation. With this partnership, IBM is turning to a new page of its transformation in China, responding to the challenges of a stricter regulatory environment, an increasingly consumerized technology landscape, and newly empowered customers. The move is a crucial milestone in IBM’s strategy to localize its vision for cloud, analytics, mobile, and social (CAMS). IBM has had a strategic focus on CAMS solutions and is systematically building an ecosystem on four pillars:

  • Cloud and social. This is where IBM and Tencent are a perfect match. IBM’s cloud managed service, operated by its partner 21ViaNet, officially went live on September 23. It can support mission-critical applications like ERP and CRM solutions from SAP and Oracle from both the IaaS and SaaS perspective. This could help Tencent target large enterprise customers beyond its traditional base of small and medium-size businesses (SMBs) and startups by adding social value to ERP, CRM, and EAM applications.
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Data Before Technology: IBM Watson's Vision

Michele Goetz

I sat down with Steve Cowley, General Manager for IBM Watson, on Tuesday at IBM Insights to talk about Watson successes, challenges since the January launch, and what is in store.  While the potential has always intrigued me, the initial use cases and message gave me more than a bit of pause: the daunting task to develop and train the corpus, the narrowness of the use cases, what would this actually cost?  Jump ahead nine months and the IBM Watson world is in a very different place.

IBM is clearly in its market building phase.  It is as much about what IBM Watson is and how IBM overall is repositioning itself as it is about changing the business model for selling technology.  However, it is easy to get negative very fast on this strategy as seen with the tremors on Wall Street as IBM's stock has gone from a 52 week high of $199 to $164 at close on Friday 10/31, much of that happening in the past month since earnings release. Wall Street may not like company uncertainty during transitional periods, but enterprise architects care about what will make their organizations successful, make development and management of technology easier, and making sure costs don't sky rocket when new bright shiny objects come in. And, that is where IBM is headed with an eye toward changing the game.

IBM Watson delivers on information over technology.

Steve surprised me with this statement, "[With] traditional programmed systems, the system is at its best when it is deployed, because it is closest to the business need it was written for. Over time these systems get further and further away from the shifting business need and so either they fall in effectiveness, or require a great deal or maintenance." Steve pointed out that data is what is changing the game.*

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Forrester's Top Emerging Technologies To Watch, Now Through 2020

Brian  Hopkins

Technology has given your customers choices and digital predators the edge. Ask marketing, they will tell you about the decreasing effectiveness of traditional campaigns. Look at your business strategy and find plans to address new digital competitors that have become serious threats overnight. Across the board, Forrester finds high expectations that emerging technology will help firms stay competitive amidst these changes. But which ones should you pay attention to? Cloud, mobile, social, Read more