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Using Enterprise Architecture Roadmaps to Guide Tech Implementation

Dataversity

Innovations in artificial intelligence, machine learning, the Internet of Things (IoT), and other advanced technologies have enabled companies to do things previously unimaginable when it comes to customer experiences, business growth, and revenue. In the 21st century, every company is a technology company.

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How to meet the challenges unique to enterprise scale

Domo

The insights provided by big data—which is a combination of structured, semistructured, and unstructured data —allow business teams to solve complex problems, improve customer experience, and identify opportunities to increase sales and accelerate business growth. However, big data is not without its challenges.

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How Data Management and Big Data Analytics Speed Up Business Growth

BizAcuity

quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second? Have you read any of the case studies involving how Netflix and Spotfy leverage big data for creating unique customer experiences? They tell you how big data helped them create a mark in today’s world.

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How Data Can Help Retailers Win Customers

Domo

Over the past decade, as customers’ demands have changed, in-store sales have declined, and shareholder pressure has risen, many retailers have turned to data as a way to survive an increasingly cut-throat industry. But turning to data means nothing if you don’t also understand how to use it to your advantage.

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Actian Datacast: Is Your Enterprise Fully Maximizing the Value of its Available Data?

Actian

Only 25% of enterprises with access to the data they need, have the freshness or recency of data they desire. In addition to fully harnessing and analyzing available data, the speed at which this is performed is critical. Data-driven insights derived from fresh and available data are crucial to execute on this strategy.

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Actian Datacast: Is Your Enterprise Fully Maximizing the Value of its Available Data?

Actian

Only 25% of enterprises with access to the data they need, have the freshness or recency of data they desire. In addition to fully harnessing and analyzing available data, the speed at which this is performed is critical. Data-driven insights derived from fresh and available data are crucial to execute on this strategy.

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What do data-driven companies have in common? Research reveals five key trends

Tableau

Data-leading companies were 3x more likely than data-aware organizations to require new hires to know how to persuasively present data.”. For years, the company struggled with expensive and complex data architecture—too many tools, data sources, and more. Something had to change. Trend #3: Mindset.