One of the great early business analytics success stories has been the incorporation of Excel spreadsheets. It is a perfect example of how new technology can optimize old tech, and how old tech can bring value and adoption to the new.
A supply chain analytics provider sold a BA package to a trucking company, and after three months, all the company had done was to convert its old reports to the BA. The company didn't know how to use the tool, and there was also a learning curve in digesting the vendor's dashboad, drilldown and report formats.
What the vendor did was to download data into Excel (which the company used all of the time). It then visited onsite and "taught" the workforce how to ask questions of the analytics and also exploit the capabilities of Excel when looking at BA data.
Three days ago I was arguing with a financial analyst on the limitation of spreadsheets to handle big data for business analytics and he did recognize that spreadsheets use to freeze when the records or the data os too large. Excel Spreadsheet may be a useful tool for Business Analytics, but It don't think that it is scalable enough to fit the need for big data analytics.
Now apparently the mobile platform of choice, the Apple iPhone has benefited from its sound understanding of human factors and ergonomics Ė but is this reputation threatened by a looming avalanche of advertising?
Enterprises are discovering that using social networking within the secure setting of a SaaS provider's network gives them an unusual opportunity to freely collaborate with partners, suppliers, and even competitors.
Recently, Amazon was recognized for its customer satisfaction excellence. It has made no secret that being customer-centric is a primary goal. This should be the goal of every e-tailer that wants to build market share.
Tongji University in China has teamed with local businesses in the development of a "real world" banking system that now enables students to master technical skills that are immediately transferrable to enterprises.
Big-data and analytics tools enable marketers to understand customers as individuals, identifying unmet needs and addressing each customer as a "segment of one," says John Kennedy, VP corporate marketing, IBM.
Edmunds separates customers into segments based on the info it collects on its site and from partners, and uses that to push out custom content, said Brian Baron, director of business analytics for Edmunds.com, at Predictive Analytics Innovation Summit.
The automotive website uses propensity modeling to target ads and customer registration forms, said Brian Baron, director of business analytics for Edmunds.com, at Predictive Analytics Innovation Summit.
Big-data has become a big point of emphasis for many businesses. While the technology is available to deploy these applications, the needed personnel often is not. As a result, analytic engineers' salaries have blown past the six-figure mark, and hiring these experts has become a challenge for IT managers.
The automotive website uses propensity modeling of customer behavior to convert more site visitors into leads, says Brian Baron, director of business analytics, in an interview at the Predictive Analytics Innovation Summit.
The medical instruments manufacturer looks to metrics to quantify its social business engagement, according to Mary Maida, Medtronic lead information solutions manager. Internet Evolution editor in chief Mitch Wagner interviewed Maida at the E2 Innovate conference.
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