Understanding data is a prerequisite to gaining control of any enterprise. But understanding is only useful if that knowledge can be shared and transmitted. Effective data modeling should be a primary focus of any enterprise architect.
While some companies flirt with digital transformation, experimenting with one-off projects, others make it a key pillar of their enterprise business strategies. Read on to see how some 2019 CIO 100 award-winning organizations are successfully scaling digital innovation.
The value of improved data analytics, integration and visualization has surged in importance in recent years, highlighted by many recent acquisitions of companies in the space. CIOs should prioritize team education, modern toolsets and processes to take advantage of all of the changes in this market.
Drowning in data it couldn't use, the University of North Texas System adopted an ambitious strategy to build a data-driven culture and the ability to apply analytics to every aspect of its operations.
Austrian lawyer Max Schrems’ first complaint about Facebook’s transfer of his personal data to the U.S. brought down the Safe Harbor data sharing agreement. Now Europe’s highest court is examining his complaint about the use of standard contract clauses for this purpose.
NorthShore University HealthSystem's emergency departments leverage data and predictive analytics to help it determine which chest pain patients should be admitted for observation and which patients can be sent home.
Modern enterprises are swimming in data. How can they turn that data into a business asset and win buy-in from the organization? It takes a bold strategy and attention to the fundamentals, experts say.
Spark is the ideal big data tool for data-driven enterprises because of its speed, ease of use and versatility. It will help you understand your data quickly and help you make informed decisions faster.
Business analyst help guide businesses in improving processes, products, services and software through data analysis. These agile workers straddle the line between IT and the business to help bridge the gap and improve efficiency.
Data that firms can use to increase revenues and reduce costs may be more abundant than many realize. Neglected internal data assets as well as freely available information from the web and public sector could be just what your company needs to streamline your operations and beat the competition.
Deciding whether to buy off-the-shelf AI or build your own AI-based business solutions is a complex equation based on available talent, business needs, desired outcomes, lock-in comfort and a rapidly evolving market.
When Thomas Jefferson University and Jefferson Health set out create the data-driven health system of the future, its efforts didn't kick into high gear until it figured out how to transform its culture.
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