Remove Data Analytics Remove Data Governance Remove Metrics Remove Statistics
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5 Data Governance Mistakes to Avoid

Alation

Whether you deal in customer contact information, website traffic statistics, sales data, or some other type of valuable information, you’ll need to put a framework of policies in place to manage your data seamlessly. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it.

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5 Data Governance Mistakes to Avoid

Alation

Whether you deal in customer contact information, website traffic statistics, sales data, or some other type of valuable information, you’ll need to put a framework of policies in place to manage your data seamlessly. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it.

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5 tips for excelling at self-service analytics

CIO Business Intelligence

Self-service analytics typically involves tools that are easy to use and have basic data analytics capabilities. Business professionals and leaders can leverage these to manipulate data so they can identify market trends and opportunities, for example. That’s a great place to start.”

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Advanced Analytics: If You Don’t Know What You Need, How Can You Succeed?

Smarten

Don’t become a failure statistic! Requirements Planning for Data Analytics. Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs. What kind of statistical data, report capability and security will you need? How will you manage growth?

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Your Modern Business Guide To Data Analysis Methods And Techniques

datapine

Data analysis method focuses on strategic approaches to taking raw data, mining for insights that are relevant to the business’s primary goals, and drilling down into this information to transform metrics, facts, and figures into initiatives that benefit improvement. Harvest your data. Conduct statistical analysis.

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Getting started guide for near-real time operational analytics using Amazon Aurora zero-ETL integration with Amazon Redshift

AWS Big Data

The transactional data from this website is loaded into an Aurora MySQL 3.03.1 (or The company’s business analysts want to generate metrics to identify ticket movement over time, success rates for sellers, and the best-selling events, venues, and seasons. or higher version) database. source) and Amazon Redshift (destination).

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How AWS helped Altron Group accelerate their vision for optimized customer engagement

AWS Big Data

Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices. Goals – Lay the foundation for a data platform that can be used in the future by internal and external stakeholders. This can be run manually or scheduled via Amazon Eventbridge (Optional).