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Data Profiling: Types, Techniques and Best Practices

Astera

Clean and accurate data is the foundation of an organization’s decision-making processes. However, studies reveal that only 3% of the data in an organization meets basic data quality standards, making it necessary to prepare data effectively before analysis. This is where data profiling comes into play.

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Data Extraction Tools: Bridging the Gap Between Unstructured and Structured Data

Astera

A research study shows that businesses that engage in data-driven decision-making experience 5 to 6 percent growth in their productivity. These data extraction tools are now a necessity for majority organizations. Extract Data from Unstructured Documents with ReportMiner. What is Data Extraction?

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Your Data Won’t Speak Unless You Ask It The Right Data Analysis Questions

Data Pine

This can include a multitude of processes, like data profiling, data quality management, or data cleaning, but we will focus on tips and questions to ask when analyzing data to gain the most cost-effective solution for an effective business strategy. Now, with Data Dan, you only get to ask him three questions.

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A Few Proven Suggestions for Handling Large Data Sets

Smart Data Collective

Data is processed to generate information, which can be later used for creating better business strategies and increasing the company’s competitive edge. A NoSQl database can use documents for the storage and retrieval of data. The central concept is the idea of a document. A document is susceptible to change.

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Top Data Analytics Terms You Should Know

The BAWorld

Top Data Analytics terms are explained in this article. Learn these to develop competency in Business Analytics. Data Analytics Terms & Fundamentals. Conformity is a data quality dimension, and it measures how well the data aligns to internal, external, or industry-wide standards.

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Databases through the ages: From scientific calculations to big data analytics

Business Analysis Knowledge Share

Let’s understand what a Data warehouse is and talk through some key concepts Datawarehouse Concepts for Business Analysis Data warehousing is a process of collecting, storing and managing data from various sources to support business decision making. What is Data Warehousing?

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

Data Pine

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

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