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Archive for November, 2012

29
Nov

BI: A Health Care Win

Business intelligence and analytics solutions are gaining ground in every vertical as a way to accelerate productivity, make better business decisions and cut costs. This holds especially true for the tech-resistant health care industry. In fact, BI and analytics adoption is not only strong in health care verticals, it’s expected to grow, with the energy around related solutions accelerating at a frenzied pace.

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28
Nov

CIOs Traded Up for Chief Digital Officer

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.

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27
Nov

More Road Paved for Big Data in the Cloud

We all know data is growing at astronomical rates, but there’s still confusion over Big Data. When it comes to Big Data in the cloud, there’s even less road traveled. This is changing.

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21
Nov

A Case for BI: Looking Beyond ROI

It’s no secret business intelligence and analytics are red hot in just about every market segment, from the smallest bakery to the largest multinational corporation.

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20
Nov

Social, Cloud, Collaboration Bolster New E-Mail Growth

It shouldn’t be surprising that most of the world’s e-mail traffic is generated by the corporate world.

What might be surprising, though, is that the global e-mail market is showing strong growth in terms of users and revenues, according to a new report from the Radicati Group. The analyst firm estimates that in 2012 there were more than 2.1 billion e-mail users worldwide, including both business and consumer users.

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16
Nov

New CIO Responsibilities Require Relationships

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.

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14
Nov

BI and the SMB

Once upon a time, business intelligence and analytics tools were relegated to large-scale enterprises with cash to burn and an army of data scientists standing by to translate the raw data into actionable information.

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13
Nov

Infrastructure Execs Search for Innovation Value

Cloud computing, data access and analytics, and unified communications and collaboration earned the top innovation priority slots among a group of Fortune 500 executives recently interviewed by McKinsey & Company.

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8
Nov

Making Collaboration Work For You

For CIOs looking to incorporate collaboration into the workplace, it may seem like a daunting task. Choosing a platform that’s right for both the workplace, the workers and the executive community may even seem impossible, but in reality, all it takes is a little strategy.

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7
Nov

Get Ready to Deep Dive into the 2012 IBM Institute for Business Value Big Data Study

“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.