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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

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What companies get wrong about data transformation

CIO Business Intelligence

Such strategic missteps may signal an ongoing issue at the C-level, with company leaders recognizing the importance of data and analytics but falling short on making the strategic changes and investments necessary for success. Of course, building a vision and culture around data that gets your company to that point is the trick.

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CDO resumes: 5 tips for landing a chief data officer role

CIO Business Intelligence

According to the survey, 80% of the top KPIs that CDOs report focusing on are business oriented. The top five KPIs for CDOs include operational efficiency, data privacy and protection, productivity and capacity, innovation and revenue, and customer satisfaction and success.

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As insurers look to be more agile, data mesh strategies take centerstage

CIO Business Intelligence

As data volumes continue to increase alongside a correlating number of business requests, modern insurance data leaders face a nuanced set of challenges. Accelerated demand in AI-enabled innovations has recently compounded these issues, prioritizing the need for new capabilities that require even more robust data foundations.

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From the Ground Up: The Truth About Data Innovation

Cloudera

Data holds incredible untapped potential for Australian organisations across industries, regardless of individual business goals, and all organisations are at different points in their data transformation journey with some achieving success faster than others. . More importantly, effective data strategies don’t stand still.

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A step-by-step guide to setting up a data governance program

IBM Big Data Hub

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture.

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How Alation’s Data Team Uses the Modern Data Stack to Power Insights

Alation

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. Curious to learn how the data catalog can power your data strategy?

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