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Digital Marketing and Measurement Model

Occam's Razor

There is one difference between winners and losers when it comes to web analytics. Winners, well before they think data or tool, have a well structured Digital Marketing & Measurement Model. Step two is to identify crisp goals for each business objective. The business we are doing this for is a real estate company.

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Pitching a DataOps Project That Matters

DataKitchen

DataOps addresses a broad set of use cases because it applies workflow process automation to the end-to-end data-analytics lifecycle. Each of these improvements can be measured and iterated upon. . Your data consumers are focused on business objectives. Find Unhappy Analytics Users.

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

IBM Big Data Hub

The primary goal of any data governance program is to deliver against prioritized business objectives and unlock the value of your data across your organization. Realize that a data governance program cannot exist on its own – it must solve business problems and deliver outcomes. Don’t try to do everything at once!

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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. The following diagram is a conceptual analytics data hub reference architecture. This reference architecture partly combines a data hub and data lake to enable comprehensive analytics services.

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Building cyber resiliency for your data with IBM FlashSystem

IBM Big Data Hub

While the need for reliable, resilient, recoverable and corruption-free data governance has long been achieved by a backup and recovery routine, more modern techniques have been developed to support proactive measures that protect against threats before they occur. Cyber resiliency goes beyond mere cybersecurity measures.

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6 strategic imperatives for your next data strategy

CIO Business Intelligence

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

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How to build a successful procurement strategy

IBM Big Data Hub

Determine business objectives Define specific measurable, achievable, relevant and timely (SMART) objectives for the procurement function. These objectives should directly support the overarching business goals and provide a clear framework for the procurement strategy.