A lot of planning goes into rolling out a major workplace upgrade, be it cloud services or the sweeping adoption of mobility. With no shortage of pain points and hurdles, it may seem like all efforts to stay relevant and future-proof will be plagued by lengthy transition processes. But that doesn’t have to be true. Small steps today can pay off big tomorrow.
Cloud, mobile, analytics and social technologies have taken off much faster than any set of skills sharp enough to keep pace. If these technologies are to live up to their promise of transforming business, government services and society, there’s work to do.
It’s obvious the bring-your-own-device trend isn’t just a passing fad; it’s an inevitable paradigm shift within the personal computing world. As devices become more sophisticated, their capabilities expand exponentially. But how can a CIO adopt a corporate BYOD strategy without clamping down on the innovation that makes tablets productivity powerhouses?
CIOs are being tasked with a litany of new responsibilities, from maintaining intra-office relationships to rolling out company-wide cloud capabilities. With all that change, it’s possible the role of the CIO isn’t needed — it may be time for the rise of the Chief Digital Officer, or CDO.
Times are changing, and so is the role of the CIO: Where once an executive was tasked with managing one IT department, today’s CIOs are being asked to do more externally. It’s an inevitability linked to the way IT now affects end-to-end business processes.
“Big data” is the buzzword of 2012, and along with the hype comes anxiety for business executives trying to decipher fact from chatter. In this session, the IBM Institute for Business Value will present the findings from its fact-based global study on the journey organizations are taking to achieve business value from big data. Based on a survey of more than 1100 business and IT executives, combined with executive interviews and case studies, the key findings will highlight the phases of the big data journey, the objectives and challenges of organizations taking the journey, and a current state of technology they are using to drive results.
This session will take a deep look at the findings you’ve heard briefly about in the IOD keynotes and business leadership sessions. These findings will establish the benchmarks that define the big data era ahead.
The survey itself is very interesting because it informs you as to the activities that big data leaders feel are important within their organizations. At the very end of the report, there is a section that recommends steps to take when building a big data analytics program. The tips contained in that section are concrete and helpful.
For example, building a big data program is broken out into four steps: Educate, Explore, Engage, and Execute.
Here is how activities and objectives break out:
• Educate – building awareness, knowledge and skills. Trying to better understand how big data can help address important business opportunities, some pilot projects but not a full big data implementation
• Explore – develop a roadmap for big data development. Formal, ongoing discussions with various business leaders to determine the business value of big data. Building quantifiable business cases.
• Engage- prove the business value of big data, assess technologies and skills, develop proof-of-concept, articulate expected returns to leadership.
• Execute – big data and analytics capabilities are widely operationalized and implemented within the organization. Leveraging big data to transform business, realizing anticipated business value.
Where is your company along the continuum of implementing a big data analytics program? Tune in for the webinar and find out where you stand against your peers — Analytics: The real-world use of big data / How innovative enterprises extract value from uncertain data.