Logical Data Warehouses in 2020: Guide to Data Virtualization

Data virtualization enable organizations to increase analytics effectiveness and reduce analytics costs by creating a virtual layer that aggregates data from multiple sources. This enables companies to access data from multiple sources without setting up a costly data warehouse or spending time on data preparation. It is also called Logical data warehouses – LDW, data federation, virtual databases, and decentralized data warehouses.

A traditional data warehouse relies heavily on ETL that needs a significant programming effort with special tools and scripting languages. A logical data warehouse creates a virtual layer that handles the ETL. Read more

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Data Catalog: The first step to metadata management in 2020

Turning big data into actionable insights is a popular business goal. Data catalogs can help organizations achieve this goal. The purpose of a data catalog is to support a business to find, understand and maintain its existing data assets. The process of creating a data catalog can lead businesses to identify data assets that they were previously unaware of.

What is a data catalog?

A data catalog is a record of an organization’s existing data. It is a library where an organizations’ data is indexed, organized and stored. Most data catalogs contain data sources, data usage information, and data lineage that describes the origin of the data and how it changed to its final form. With a data catalog, organizations can centralize information so that they can identify what data they have, distinguish data based on its quality and source.  Read more

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Enterprise Search 2020: In-Depth Guide

Enterprise search is a valuable tool for businesses since it allows employees to perform instant searches within the company’s knowledge base. This decreases the amount of time it takes for an employee to find the necessary information, leaving more time for higher value-added tasks.

We answered all your enterprise search-related questions:

What is an enterprise search?

Enterprise search is a way of search that helps employees find the data from one or multiple databases in a single search query. The searched data can be, in any format, from anywhere inside the company -in databases, document management systems, e-mail servers, on paper and so on. Read more

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Data Extraction in 2020: In-depth guide for business users

The dramatic increase in the volume of unstructured and semi structured data has made data extraction vital. This is because structured data can be processed and analyzed more accurately than other types of data since it is machine-readable.

Automated data extraction software helps companies to automatically pull data from various sources. Automated data extraction enables businesses to save time & costs, reduce manual errors, improve their decision-making processes and save employees from mind-numbing repetitive work. Read more

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Data-driven decision making in 2020: Step-by-step guide

Most successful organizations treat data-driven decision making as a primary objective and pursue it with religious zeal. However, data-driven decision making, the steps leading to it and how AI is changing it are not well-defined.

In an AI-first company, data-driven decision making means

  • Strategic decisions are made by a diverse group including executives that rely on a sufficiently comprehensive set of information. By definition, a bad strategic decision should be important enough to lead to failure of the company.
  • Most operational decisions are handled by continuously learning machine learning models which produce explainable decisions. Operational decisions are frequent (once a week or more frequent) and not critical (a single mistake is unlikely to lead to failure of the company).
  • Operational decisions which can not be automated with good accuracy are delegated to humans.
    • If data is lacking, opinion based decisions are made.
    • If data exists and has been analyzed, decision maker relies on analysis.
    • If data exists but is not analyzed yet, cost of analysis determines whether an opinion or data based decision will be made.

    Before settling on this framework for decision making for modern corporations, we need to identify how we can evaluate different decision making models. However, if you like you can directly skip to the sections that interest you: Read more

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