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Top Challenges and Opportunities for Chief Data Officers

Sisense

And while organizations are trying to bridge the skills gap by hiring data scientists, data analysts, and data engineers, some are giving these highly technical individuals a seat in the C-suite in the form of the chief data officer (CDO). Clearly, data is becoming more important to organizations.

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Supercharging Your Digital Transformation with Embedded Analytics

Sisense

Nevertheless, coming up with a digital transformation strategy can cause some nervousness: 73% of firms consider it to be an ongoing challenge and only 38% feel they’ve created data-driven organizations to date. Embrace embedded analytics, make better data-driven decisions.

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Analyst, Scientist, or Specialist? Choosing Your Data Job Title

Sisense

One of the most common data job titles, data analysts use existing tools and algorithms to solve data-related problems (instead of inventing new ones like data scientists might do. Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization.

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Get Started With Business Performance Dashboards – Examples & Templates

Data Pine

According to Accenture, 89% of business innovators believe that that big data analytics will revolutionize business operations in the same way as the World Wide Web. Moreover, 57% of enterprise organizations currently employ a chief data officer, another study conducted by MicroStrategy. Interactivity.

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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

Data Pine

1) What Is A Business Intelligence Strategy? 4) How To Create A Business Intelligence Strategy. Odds are you know your business needs business intelligence (BI). Over the past 5 years, big data and BI became more than just data science buzzwords. Table of Contents.

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Building a Data-Driven Culture: The People Aspect

Domo

That journey starts with data literacy: the ability to view, understand, create and communicate data as valuable information. Unfortunately, most businesses are struggling with data literacy. The bottlenecks start with cultural issues and extend to the reliance on old-school business intelligence tools.