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4 Risks of Storing Large Amounts of Unstructured Data

Dataversity

In 2013, the big data headline was the incredible statistic that 90% of all data in the history of the entire human race had been created in the previous two years. The amount of structured and unstructured data we’ve created was so mind-boggling that we deemed it […].

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5 Applications for Corporate Text Analytics

Smart Data Collective

Text mining and text analysis are relatively recent additions to the data science world, but they already have an incredible impact on the corporate world. As businesses collect increasing amounts of often unstructured data, these techniques enable them to efficiently turn the information they store into relevant, actionable resources.

Analysis 301
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What is Data as a Service (DaaS)?

Zoominfo

Data is the foundation of business in the 21st century. But as the velocity, volume, and variety of data increases, even the most advanced enterprises are struggling with inaccurate data that doesn’t provide actionable insights. DaaS is a suite of products and services that create an end-to-end data management platform.

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Combining Data: When and How to Merge Datasets

Netbasequid

Unless your organization has a good data governance program in place, your data is likely not all stored in one location––but it should be. Data collected from different sources on different tools is usually analyzed and stored separately. That said, data combining is a delicate process. Here’s why, and how!

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Top 11 Big Data Challenges and How to Overcome Them

Data Hut

As the name suggests, the challenges in big data usually occur in handling the vast data, storing, and analyzing the set of information spread across various data stores. As per a study by , Gartner , the average financial impact of bad data quality on an organization is $9.7 million per year.

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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

Datapine Blog

4) How To Create A Business Intelligence Strategy. Over the past 5 years, big data and BI became more than just data science buzzwords. In response to this increasing need for data analytics, business intelligence software has flooded the market. Table of Contents. 1) What Is A Business Intelligence Strategy?

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What is Customer Data Integration (CDI) & How to Do It

Netbasequid

Customer data integration (CDI) is the process of unifying the data collected at various customer touch points. And when properly captured and analyzed, consumer data can reveal a wide range of useful information for the business. This is the heart of customer data integration. Benefits of Customer Data Integration.

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