As an analyst who focuses on the future of communications and the implications for business, I will travel to Mobile World Congress (MWC) with several expectations:
There will be a greater focus on business solutions, not just hardware and software exhibits. OK, in many respects, this is probably more of a hope of mine than an expectation. MWC visitors will still encounter hall after hall of software and hardware. Still, I expect many exhibitors, including device players like Samsung, to show a growing awareness by focusing more on actual end user business needs, including a vertical perspective.
Consumerization as a focus area is just heating up. The information workforce is fragmenting. Information workers will increasingly expect to work in a flexible framework. Forrester’s research highlights significant differences in communication and collaboration behavior between age groups. Social media — the communication channel of choice for those now entering the workforce — brings big challenges for businesses in the areas of procurement, compliance, human resources, and IT. However, I expect these themes to be addressed mostly superficially at MWC.
The merger of big data, mobility, and cloud computing is recognised as a large business opportunity. Mobility by itself only scratches the surface of the opportunities in areas like customer interaction, go-to-market dynamics, charging, and product development, which are emerging in combination with big data and cloud computing. I expect providers like SAP to touch on several aspects of this trend. The momentum is supported by the trend toward software-defined networking.
Reflections from the 10th Safer Internet Day Conference in Berlin, February 5th 2013
Earlier this month, I had the pleasure of speaking at the Safer Internet Day Conference in Berlin, organized by the Federal Ministry of Consumer Protection, Food and Agriculture and BITKOM, the German Association for Information Technology, Telecommunication and New Media. The conference title, ‘Big Data – Gold Mine or Dynamite?’ set the scene; after my little introductory speech on what big data really means and why this is a relevant topic for all of us (industry, consumers, and government), the follow-up presentations pretty much focused either on the ‘gold mine’ or the ‘dynamite’ aspect. To come straight to the point: I was very surprised, if not slightly shocked at how deep a gap became visible between the industry on the one side and the government (mainly the data protection authorities) on the other side.
While industry representatives, spearheaded by the BITKOM president Prof. Dieter Kempf and speakers from IBM, IMS Health, SAS, and others, highlighted interesting showcases and future opportunities for big data, Peter Schaar, the Federal Commissioner for Data Protection, seemed to be on a crusade to protect ‘innocent citizens’ from the ‘baddies’ in the industry.
This Forrester-moderated panel of top security executives from Allergan, Zappos and Humana will discuss the impact of scale in solving Big Security challenges. Issues from the importance of scale in detecting advanced threats to benefits to the average user will be debated. Drawing on their experiences, these experts will share their views on why scale matters in the era of big data.
David Hannigan, Zappos, Information Security Officer
Stephen Moloney, Humana Inc., Manager, Enterprise Information Security
Jerry Sto. Tomas, Allergan, Inc., Director, IS Global Information Security
Predicting what malware will look like five years from now requires more than a crystal ball. In order to fully understand future threats and challenges, you need a finger on the broader pulse of technological innovation. Our panel of esteemed experts will attempt to guide a better understanding of where we may need to target our defensive efforts in the coming months and years.
Data management is becoming critical as organizations seek to better understand and target their customers, drive out inefficiency, and satisfy government regulations. Despite this, the maturity of data management practices at companies in China is generally poor.
I had an enlightening conversation with my colleague, senior analyst Michele Goetz, who covers all aspects of data management. She told me that in North America and Europe, data management maturity varies widely from company to company; only about 5% have mature practices and a robust data management infrastructure. Most organizations are still struggling to be agile and lack measurement, even if they already have data management platforms in place. Very few of them align adequately with their specific business or information strategy and organizational structure.
If we look at data management maturity in China, I suspect the results are even worse: that fewer than 1% of the companies are mature in terms of integrated strategy, agile execution and continuous performance measurement. Specifically:
The practice of data management is still in the early stages. Data management is not only about simply deploying technology like data warehousing or related middleware, but also means putting in place the strategy and architectural practice, including contextual services and metadata pattern modeling, to align with business focus. The current focus of Chinese enterprises for data management is mostly around data warehousing, master data management, and basic support for both end-to-end business processes and composite applications for top management decision-making. It’s still far from leveraging the valuable data in business processes and business analytics.
William Shakespeare wrote that “What’s past is prologue.” Big data surely builds on our rich past of using data to understand our world, our customers, and ourselves. Now the world is flush and getting flusher in big data from cloud, mobile, and the Internet of things. What does it mean for enterprises? In a word: opportunity. Firms have taken to big data. Here are my four predictions for key enterprise big data themes in 2013:
Firms will realize that “big data” means all of their data. Big data is the frontier of a firm’s ability to store, process, and access (SPA) all of the data it needs to operate effectively, make decisions, reduce risks, and create better customer experiences. The key word in the definition of big data is frontier. Many think that big data is only about data stored in Hadoop. Not true. Big data is not defined by how it is stored. It can and will continue to reside in all kinds of data architectures, including enterprise data warehouses, application databases, file systems, cloud storage, Hadoop, and others. By the way, some predict the end of the data warehouse — but that’s nonsense. If anything, all forms of data technology will evolve and be necessary to handle the frontier of big data. In 2013, all data is big data.
Rowan Curran, Research Associate and TechnoPolitics producer, hosts this episode to ask me (your regular host) about The Pragmatic Definition Of Big Data. Listen (5 mins) to hear the genesis of this new definition of big data and why it is pragmatic and actionable for both business and IT professionals.
Podcast: The Pragmatic Definition Of Big Data Explained (5 mins)
It looks that EMC has finally admitted it needs a better approach for courting developers and is doing something significant to fix this. No longer will key assets like Greenplum, Pivotal, or Spring flounder in a corporate culture dominated by infrastructure thinking and selling.
After months of rumors about a possible spin-out going unaddressed, EMC pulled the trigger today, asking Terry Anderson, its VP of Corporate Communications, to put out an official acknowledgement on one of it its blogs (a stealthy, investor-relations-centric move) of its plans to aggregate its cloud and big data assets and give them concentrated focus. It didn't officially announce a spin out or even the creation of a new division. Nor did it clearly identify the role former VMware CEO Paul Maritz will play in this new gathering. But it did clarify what assets would be pushed into this new group:
Big data is driving disruptive change across the economy in business such as healthcare, retail, communications, and entertainment. The potential for firms to use big data to create permanent relationships with customers is huge, and the time to get onboard is now. Big data is driving disruptive change across the economy in business such as healthcare, retail, communications, and entertainment. The potential for firms to use big data to create permanent relationships with customers is huge, and the time to get onboard is now. I was thrilled to be featured in the first episode on a new series, Big Thinkers In Big Data, hosted by TWit network's Sarah
In the face of rising data volume and complexity and increased need for self-service, enterprises need an effective business intelligence (BI) reference architecture to utilize BI as a key corporate asset for competitive differentiation. BI stakeholders — such as project managers, developers, data architects, enterprise architects, database administrators, and data quality specialists — may find the myriad choices and constant influx of new business requirements overwhelming. Forrester's BI reference architecture provides a framework with architectural patterns and building blocks to guide these BI stakeholders in managing BI strategy and architecture.
Enterprise information management (EIM) is complex — from a technical, organizational, and operational standpoint. But to business users, all that complexity is behind the scenes. What they need is BI, an interface to enterprise data — whether it's structured, semistructured, or unstructured. Our June 2011 Global Technology Trends Online Survey showed that BI topped even mobility — the frontrunner in recent years — as the technology most likely to provide business value over the next three years.