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Using Data-Driven Lean Thinking to Optimize Business Processes

Smart Data Collective

A growing number of businesses use big data technology to optimize efficiency. However, companies that have a formal data strategy are still in the minority. Only 32% of executives have officially laid out a data strategy to drive their organization. Monitor Markets for Profitability.

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What to Look for in a Data-Savvy Fintech Marketing Agency

Smart Data Collective

Big data technology has changed the future of marketing in a multitude of ways. A growing number of organizations are leveraging big data to get higher ROIs from their organic and paid marketing campaigns. As a result, companies around the world spent over $52 billion on data-driven marketing solutions in 2021.

Marketing 137
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Startups Must Take Advantage of Big Data to Gain a Competitive Edge

Smart Data Collective

Big data technology is one of the most important forms of technology that new startups must use to gain a competitive edge. The success of your startup might depend on your ability to use big data to your full advantage. The right data strategy can help your startup become profitable.

Big Data 136
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The Cloudera Enterprise Data Cloud Maturity Report: Uncovering progressive steps towards a hybrid future

Cloudera

Some organizations have taken this as an opportunity for positive change by moving workloads to the cloud and utilizing enterprise data strategies that are key to their business resiliency. The maturity model suggests that those with clear strategies and approaches to transform their technologies are ahead of their competitors.

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Why Big Data Is Essential To Digital Product Sales

Smart Data Collective

One study found that the value of big data in this sector was worth $3.45 Big data is especially important in the eCommerce industry, since the market is digital. Smart marketers will look at ways to utilize it. Big data is going to be even more important for companies selling digital products online.

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Cloudera Data Science Workbench: where innovation meets security, compliance and scale on the road to industrialized AI

Cloudera

And once a model has been trained, tuned and optimized, data scientists want to put it to work for the business ASAP. What emerges is the criticality of a data strategy and core data management competency, including both data and model management, to support enterprise ML initiatives. Register today!

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Infusing Analytics to Overcome the Skills and Accessibility Gap

Sisense

Harvard Business Review Analytics Services Pulse Report for Sisense, March 2021. This is a huge impediment, and overcoming it requires a process change: Only the right analytics technology, seamlessly infused into user workflows, will bridge not only the skills gap, but the gap between insights and actions.