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Critical Components of Big Data Architecture for a Translation Company

Smart Data Collective

However, big data often encapsulates using constantly growing data sets to determine business intelligence objectives, such as when to expand into a new market, which product might perform overseas, and which regions to expand into. How Does Big Data Architecture Fit with a Translation Company?

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6 strategic imperatives for your next data strategy

CIO Business Intelligence

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

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Data Strategy in a Working from Home Climate

Peter James Thomas

In my last article, Data Strategy Creation – A Roadmap , I hopefully gave some sense of the complexities involved in developing a commercially focussed Data Strategy. I had successfully developed and then executed a Data Strategy for the European operations of a leading Global General Insurer.

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What you don’t know about data management could kill your business

CIO Business Intelligence

But at the other end of the attention spectrum is data management, which all too frequently is perceived as being boring, tedious, the work of clerks and admins, and ridiculously expensive. Still, to truly create lasting value with data, organizations must develop data management mastery. Seven individuals raised their hands.

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Statistics Changing Marketing Strategies

TDAN

When it comes to marketing, business owners need to be fast in adjusting their strategies to fit the continuous advancement in technologies. Today, nearly everyone has a mobile phone or another smart mobile device with them at all times.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes.

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How data, AI and automation can transform the enterprise

IBM Big Data Hub

Today’s data leaders are expected to make organizations run more efficiently, improve business value, and foster innovation. Their role has expanded from providing business intelligence to management, to ensuring high-quality data is accessible and useful across the enterprise.