Data Science

Showing 21-29 of 29

015-Technology-500

Market Management to Transform the IT Organization

In recent years, there have been calls and prescriptions for business transformation.1 There has also been growing pressure for radical change in how the IT function is organized and managed. Rockart et al. captured the consequences of an agenda for reform in the IT function, and Cross et al.

06-Social-Business-500

Management by Maxim: How Business and IT Managers Can Create IT Infrastructures

Creating a business-driven IT infrastructure requires that executives thoroughly understand their firm’s strategic context. By formulating a series of business and IT maxims — short simple statements of the business’s positions — managers can identify the IT infrastructure service suited to their company. Organizational, political, cultural, and reward system issues, as well as a lack of IT leadership, may form implementation barriers.

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07-Technology-500

Develop Long-Term Competitiveness through IT Assets

Assessing the value of information technology (IT) has never been easy. Delayed benefits, unintended uses, business changes, and hidden support costs inhibit meaningful evaluation of individual IT investments. This was true when most investments were focused on the support of a single business process or functional area.

06-Technology-500

The Value of Selective IT Sourcing

When Eastman Kodak turned over the bulk of its IT operations to three outsourcing partners in 1989, outsourcing was a $4 billion a year business.1 Today, that number has grown to nearly $40 billion a year, according to the estimates of industry watchers Frost & Sullivan.

010-big-data-and-analytics-500

Use Strategic Market Models to Predict Customer Behavior

Positioning products in a complex market is one of a company’s hardest decisions. In determining whether to combine or maintain separate product lines, Hewlett-Packard used strategic market modeling (SMM) to design “what if” scenarios and run simulations forecasting market behavior. SMM combines demographics, user needs and competitive-perception data into a database for testing alternative positioning strategies. The author describes SMM’s development and the lessons learned.

02-Operations-500

Improve Data Quality for Competitive Advantage

ERRORS IN DATA CAN COST A COMPANY MILLIONS OF DOLLARS, ALIENATE CUSTOMERS, AND MAKE IMPLEMENTING NEW STRATEGIES DIFFICULT OR IMPOSSIBLE. The author describes a process AT&T uses to recognize poor data and improve their quality. He proposes a three-step method for identifying data-quality problems, treating data as an asset, and applying quality systems to the processes that create data.

Showing 21-29 of 29