Data Management

8 Ways a Business Data Strategy Enables Big Data Analysis

By Carol Newcomb, Senior Data Management Consultant at SAS Whether you are a mom-and-pop donut shop or an international behemoth business, you rely on data to make better decisions. Data is collected and created through daily transactions with your customers. It reflects their buying decisions and preferences, how often they trade and even the prices …

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The chief data officer role shakes up traditional data management

The different types of organizations Of course, it is foolish to think of all organizations as the same. The business and data challenges facing a mid-sized US company are dramatically different from those faced by large healthcare organizations and betting companies like Google. Oh, and the legislation is very different based on industry and geography. …

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The Importance of Data Quality: A Sustainable Approach

By Carol Newcomb, Senior Data Management Consultant at SAS No one likes unpleasant surprises. When it comes time to look objectively at what has happened in terms of customer activity, business productivity or progress toward goals, everyone wants to be able to rely on the reports they get. And no one wants to be embarrassed …

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Tips for successfully modernizing data integration

By Cindy Turner, Insights editor A barrage of changes in the data world has sent organizations to scramble to manage day-to-day requirements while preparing for the future of big data, analytics and real-time operations. To do that, most people need to rethink and modernize their data management infrastructures, teams and skills. Because data integration (DI) …

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5 Ways to Monetize Data to Inform Data Strategy

By Anne Buff, SAS Best Practices More can be achieved by making money from data than just selling data and making money. Sales are certainly a way to make money from data, but there are myriad ways companies across industries have generated significant business value through data. Data monetization requires extensive rigor in business practices, …

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IoT success depends on data management, security and privacy

1. Engaging in innovation without the right preparation We all know that we should not innovate for the sake of innovation. According to Sam Edelstein, Chief Data Officer of the City of Syracuse, “the greatest danger to the IoT probably has to do with treating it as a shiny object.” He warns that preparation “takes …

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How openness can supercharge event stream analytics

Overcoming incompatibility with openness One approach to breaking the implicit system oligarchy is to embrace openness as a fundamental practice of data management and analysis. The process has been a success in the operating system (OS) and platform tools arena – note that Linux has been successful and its disruptive effect on the square of …

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