There is always a tendency to regard the major players in large markets as being a static background against which the froth of smaller companies and the rapid dance of customer innovation plays out. But if we turn our lens toward the major server vendors (who are now also storage and networking as well as software vendors), we see that the relatively flat industry revenues hide almost continuous churn. Turn back the clock slightly more than five years ago, and the market was dominated by three vendors, HP, Dell and IBM. In slightly more than five years, IBM has divested itself of highest velocity portion of its server business, Dell is no longer a public company, Lenovo is now a major player in servers, Cisco has come out of nowhere to mount a serious challenge in the x86 server segment, and HP has announced that it intends to split itself into two companies.
And it hasn’t stopped. Two recent events, the fracturing of the VCE consortium and the formerly unthinkable hook-up of IBM and Cisco illustrate the urgency with which existing players are seeking differential advantage, and reinforce our contention that the whole segment of converged and integrated infrastructure remains one of the active and profitable segments of the industry.
EMC’s recent acquisition of Cisco’s interest in VCE effectively acknowledged what most customers have been telling us for a long time – that VCE had become essentially an EMC-driven sales vehicle to sell storage, supported by VMware (owned by EMC) and Cisco as a systems platform. EMC’s purchase of Cisco’s interest also tacitly acknowledges two underlying tensions in the converged infrastructure space:
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.
Forrester recently published its 2015 Predictions for Asia Pacific. I wanted to highlight some specific trends around customer insights (CI) and big data, two very hot topics for many AP-based organizations.
We strongly believe that success for many organizations hinges on your ability to close the gap between available data and actionable insight. Marketing is taking the lead here, as CI pros seek to use data to fuel customer engagement improvements. Hence 2015 will be a year of increased fragmentation as reliance on analytics spreads across organizations.
What will this mean for you? More cloud-based and mobile analytics, more demand for interactive and responsive analytics, and more use of specialist and niche BI and analytics service providers. Given this backdrop, Forrester believes that:
Analytics spending will increase by at least 10% across the region. Yes analytics spending will increase, but less of it will be visible in the CIO's budget. Marketing and other business departments will drive analytics investments to address specific challenges and opportunities. The technology management (TM) organization will have little control over the implementation and deployment of niche and specialist BI and analytics services.
As the healthcare industry depends increasingly on software to drive the change to value-based care from transaction-based compensation, the future of global healthcare is increasingly bound to the technology that will deliver:
Integration solutions that will allow stakeholders to share information about populations and individuals across the ecosystem.
Cloud-based solutions that will allow services to reach scale without the need for the contemporary care system or health insurance vendor to grow infrastructure.
Branded medical services, such as oncology advice engines that allow a regional cancer specialist to deliver a better quality of care because she will have, for example, access to the most advanced protocols for her patients via smart software powered by companies such as IBM but with the built-in expertise of our great medical centers such as Memorial Sloan Kettering Cancer Center.
The Rise of consumer health repositories will work against info sharing in the eco-system - crossing the divide between protected data owned by covered entities, under various global privacy laws such as HIPAA, and consumer controled data subject to the corporate policy of various business entites such as Microsoft, Apple, Samsung, and others will remain dificualt and cumbersome.
Digital transformation will drive technology spending growth of 4.9%.Always-connected, technology-empowered customers are redefining sources of competitive advantage for AP organizations. In fact, 79% of business and technology decision-makers that Forrester surveyed indicated that improving the experience of technology-empowered customers will be a high or critical priority for their business in 2015. Similarly, 57% said that meeting consumers’ rising expectations was one of the reasons that they would spend more money on technology next year — the top reported reason for increased technology spending
An inquiry call from a digital strategy agency advising a client of theirs on data commercialization generated a lively discussion on strategies for taking data to market. With few best practices out there, the emerging opportunity just might feel like space exploration – going boldly where no man has gone before. The question is increasingly common. "We know we have data that would be of use to others but how do we know? And, which use cases should we pursue?" In It's Time To Take Your Data To Market published earlier this fall, my colleagues and I provided some guideance on identifying and commercializing that "Picasso in the attic." But the ideas around how to go-to-market continue to evolve.
In answer to the inquiry questions asked the other day, my advice was pretty simple: Don’t try to anticipate all possible uses of the data. Get started by making selected data sets available for people to play with, see what it can do, and talk about it to spread the word. However, there are some specific use cases that can kick-start the process.
Look to your existing customers.
The grass is not always greener, and your existing clients might just provide some fertile ground. A couple thoughts on ways your existing customers could use new data sources:
Hadoop adoption and innovation is moving forward at a fast pace, playing a critical role in today's data economy. But, how fast and far will Hadoop go heading into 2015?
Prediction 1: Hadooponomics makes enterprise adoption mandatory. The jury is in. Hadoop has been found not guilty of being an over-hyped open source platform. Hadoop has proven real enterprise value in any number of use cases including data lakes, traditional and advanced analytics, ETL-less ETL, active-archive, and even some transactional applications. All these use cases are powered by what Forrester calls “Hadooponomics” — its ability to linearly scale both data storage and data processing.
What it means: The remaining minority of dazed and confused CIOs will make Hadoop a priority for 2015.
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.
As the hub of our offline and online experiences, mobile interactions are a powerful catalyst for contextual marketing. The untapped opportunity in mobile for marketers will be to get an extremely granular understanding of their customers, then anticipate their expectations, and develop unique insights to power better marketing across all channels, not just mobile.
Few Marketers Make The Most Of The New Customer Data Gold Mine
Because smartphones are the hub of our offline and online experiences, they generate valuable insights for contextual data-driven marketing. However, the majority of marketers are not yet ready to exploit the convergence between mobile and big data.
Short Term: Engage Your Customers In Real Time In Their Mobile Moments
Harnessing and extracting actionable insights from this unprecedented wealth of customer data will enable marketers to serve customers in their mobile moments on a channel where they will increasingly spend the majority of their digital time.
Long Term: Power Better Marketing Initiatives Beyond The Mobile Channel
Mobile is more than simply another digital channel. Marketing leaders should combine mobile data with other sources of customer intelligence to get a deeper understanding of customers, anticipate their expectations, and act on these insights to improve all marketing initiatives.