Banking

Capabilities for data archiving and application retirement

July 28, 2014
Gartner has recently released their first ever Magic Quadrant for Structure Data Archiving Application Retirement. In this report, Gartner evaluates vendors based on their capabilities and offerings for structured data archiving and application retirement. IBM has been recognized as a leader in the report. Read More

What banking can learn from retail

July 24, 2014
Banks can improve their reputation and gain consumer trust by emulating retailers and leveraging big data and analytics. Read More

Realize your data’s potential

July 18, 2014
Research indicates that business and IT professionals spend more than 70 percent of their time finding data, validating it or defending it, rather than focusing on what they find most important: analyzing the data. With too little time spent focusing on data analysis, organizations derive sub-optimal returns from their big data initiatives. For better business outcomes, and to maximize the value from big data, organizations need to invest in an agile data governance program.In a recent survey, respondents indicated that they spend more than 70 percent of their time finding data, validating it or defending it, rather than focusing on what they find most important: analyzing the data.  Read More

Social media analytics for small countries

July 11, 2014
A quick social media analytics exercise will prove that high quality analysis requires ongoing attention. Read More

The new wave of change: Big data and analytics in the UK marketplace

July 3, 2014
Big data and analytics is sweeping the UK market and promises to bring exciting solutions that are enabling organizations to stay ahead while customers and citizens continue to evolve in the new data-driven environment. Read More

Is data quality going out of fashion?

June 13, 2014
Big data does not make data quality redundant. As long as there is a need to make sound decisions based on information and insights, there will be a need for data quality and governance. Data quality function will adapt to the changing business needs and play a crucial role in building confidence in big data. Read More

Making data science a team effort

June 12, 2014
Many make out the data scientist to be a Renaissance woman or man who can single-handedly elevate the organization’s analytics savvy. However, preparing students for corporate roles in data science means training them for many positions on a team. At Arizona State University, we work closely with our industry advisory boards to create real-world curriculum for programs in business analytics. Read More

Banking on Hadoop

May 29, 2014
While Hadoop is a technology for data management and analytics, it has important capabilities that business leaders should know about. Read More

Intelligence accelerated: How cloud-based analytics is expediting business results

May 28, 2014
Today’s data-driven organization is faced with magnified urgency around data volume, user needs and compressed decision time frames. In order to address these challenges while maintaining an effective analytical environment, many organizations are exploring cloud-based environments coupled with powerful analytical technology to accelerate decisions and enhance business performance. Read More

Success criteria for data integration scalability

May 16, 2014
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Read More

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