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4 Data Analytics Tools That Will Revolutionize Marketing In 2021

Smart Data Collective

How Can Data Play an Important Role in GTM? There are a number of reasons that data analytics is transforming the direction of GTM marketing in 2021. Some of these were addressed in the Data Driven Summit 2018. Why Having a Data-Driven GTM Strategy Is Important? There is no need to hire expensive data analysts.

Marketing 106
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Checklist of Data Dashboard for 2021? Definition, Examples & More

FineReport

As it transforms your business into data-driven one, data could thus exploit their intrinsic value to the fullest by visualizations. I am sure no staff is willing to endure colossal, unstructured data processing as it is time-consuming and boring. How to Create Your Own Data Dashboard—Guidance. No need to worry.

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5 misconceptions about cloud data warehouses

IBM Big Data Hub

The rise of cloud has allowed data warehouses to provide new capabilities such as cost-effective data storage at petabyte scale, highly scalable compute and storage, pay-as-you-go pricing and fully managed service delivery. In 2021, cloud databases accounted for 85% 1 of the market growth in databases.

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Edmunds sets stage for AI with data infrastructure consolidation

CIO Business Intelligence

Today, Edmunds’ website offers data on new and used vehicle prices, dealer and inventory listings, a database of national and regional incentives and rebates, as well as vehicle reviews and advice on buying and owning cars. The company was purchased by Carmax in 2021 for $404 million.

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Data Modeling 301 for the cloud: data lake and NoSQL data modeling and design

erwin

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. A sample data warehousing project.

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Optimize data layout by bucketing with Amazon Athena and AWS Glue to accelerate downstream queries

AWS Big Data

In the era of data, organizations are increasingly using data lakes to store and analyze vast amounts of structured and unstructured data. Data lakes provide a centralized repository for data from various sources, enabling organizations to unlock valuable insights and drive data-driven decision-making.

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Bridging the Gap Between Analytics Expectations and Reality

Sisense

Companies surveyed by Harvard Business Review Analytic Services (HBR) report that two of the most important strategic benefits of using data analytics are (1) identifying new revenue and business models and (2) becoming more innovative. 39% of companies want to identify new revenue and business opportunities with data analytics.