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5 Steps to Self-Service Analytics that Scale

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Business Intelligence

The data revolution is here. And self-service analytics has become a given.

But when the business wants access to raw data, it can be disruptive. Selfservice BI challenges the traditional BI methodology and forces IT to take a new approach to analytics.

The modern approach is simple. It’s about IT and the business partnering to deliver self-service data access at scale. It allows secure and governed data to flow into the organization through IT. And it empowers the end user with the software to explore their data.

Connect to Your Customers Faster with the Lightning Summer '16 Release

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Customer Service

Did you know that 77 percent of customers say they are not engaged with the companies with which they do business? It’s a disheartening statistic, but not entirely surprising. Customers are generating massive amounts of data via countless digital interactions and connected devices, yet companies aren’t really taking advantage of this data; they’re analyzing less than 1 percent of all customer data. What a waste of customer insight! Companies need to close this engagement gap by harnessing customer data to create deeper, more meaningful experiences for customers.

6 Trends to Look for in BI

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Business Intelligence

The field of business intelligence is always changing. But even with technology moving at a fast pace and data users’ demands morphing, some factors of the industry have remained the same.

For instance, broader use of predictive analytics remains an aspirational goal for most companies. Suboptimal data quality continues to be problematic. The requirement for information governance is high, but maturity is lower than it needs to be.

The Cloud Data Brief: Big Data Transitions to the Cloud

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Business Intelligence

Solutions were once limited to databases deployed exclusively on-premise. But today, businesses must navigate a wide variety of technologies and deployment types. From individual database and Hadoop products to cloud, on-premise and hybrid deployments, the landscape is diverse, and changing fast.

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