Analysts Corner

FEBRUARY 5, 2023

Data Analysis (Image created using photo and elements in Canva) Evolution of data and big data Until the advent of computers, limited facts were collected and documented, given the cost and scarcity of resources and effort to capture, store, and maintain them. What do you think?

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Dataversity

MAY 29, 2024

billion documents each day on the platform and in the next two years, that is expected to grow by 4.4 times, according to a […] The post Data Logistics Mandates: Devising a Plan to Ensure Long-Term Data Access appeared first on DATAVERSITY. One million companies globally use 365 and create 1.6

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Analysts Corner

JUNE 18, 2023

As the importance of data integration and analysis continues to grow, the demand for skilled ETL (Extract, Transform, Load) developers has risen accordingly. ETL developers play a critical role in managing and transforming data to enable organizations to make data-driven decisions.

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Dataversity

MAY 1, 2023

Many organizations have mapped out the systems and applications of their data landscape. Many have documented their most critical business processes. Many have modeled their data domains and key attributes. But only very few have succeeded in connecting the knowledge of these three efforts.

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Business Analysis Knowledge Share

OCTOBER 24, 2023

No longer confined to generating reports and analyzing historical data , Business Analysts are now expected to provide strategic insights that can drive decision-making and business growth. To excel in this role, it’s crucial for Business Analysts to have a solid understanding of Data Warehousing concepts.

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ElegantJ BI

APRIL 28, 2021

Without a clear understanding of the various categories and iterations of data management options, the business may make the wrong choice or become so mired in the review process that it will give up its quest. This article is the first of two on the topic of Data Management.

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ElegantJ BI

APRIL 28, 2021

Without a clear understanding of the various categories and iterations of data management options, the business may make the wrong choice or become so mired in the review process that it will give up its quest. This article is the first of two on the topic of Data Management.

Data Warehouse 130

Data Warehouse Data Mining Data Management Data Governance 130

Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Data breaches and regulatory compliance are also growing concerns.

Data Management 52

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Astera

JANUARY 2, 2024

Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place. But what exactly is data management? What Is Data Management? It essentially supports the overall data governance policy.

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Dataversity

JANUARY 4, 2023

This document describes the rights that should be protected when implementing automated systems using AI technology. The Office of Science and Technology Policy (OSTP) of the White House has issued the blueprint of the AI Bill of Rights. The paper lists the following five principles that define these rights: 1.

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Ntara

APRIL 11, 2023

To bring your new or improved product to life, you need quick access to product data. There’s a clear path to fix even the most complex data problems. In this article, we’ll share helpful tips on using product data management to support a painless product launch. But time wasted due to poor data processes?

Data Governance 52

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GAVS Technology

JUNE 2, 2021

In the recently announced Technology Trends in Data Management, Gartner has introduced the concept of “Data Fabric”. Here is the link to the document, Top Trends in Data and Analytics for 2021: Data Fabric Is the Foundation (gartner.com). What is Data Fabric? Data Lakes. Data Fabric Players.

Healthcare 52

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Tableau

OCTOBER 26, 2021

This is the final post in a three-part series about data and analytics governance. In case you missed them, read the first to hear from Tableau’s own data governance team , and the second to learn how good governance accelerates your Data Culture. Editor’s note: This article originally appeared on CIO.com.

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Tableau

OCTOBER 26, 2021

This is the final post in a three-part series about data and analytics governance. In case you missed them, read the first to hear from Tableau’s own data governance team , and the second to learn how good governance accelerates your Data Culture. Editor’s note: This article originally appeared on CIO.com.

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Astera

JUNE 6, 2023

Implementing scalable ETL architectures enables organizations to unlock the potential of their data repositories, facilitating timely and valuable insights for informed decision-making. This article delves into the complexities of building and optimizing scalable ETL architectures to meet the demands of modern data processing.

Data Quality 52

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Astera

FEBRUARY 1, 2024

Data modeling is the process of structuring and organizing data so that it’s readable by machines and actionable for organizations. In this article, we’ll explore the concept of data modeling, including its importance, types , and best practices. What is a Data Model?

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Cprime

MARCH 5, 2024

Atlassian Cloud adoption FAQs addressed in this article: What are the benefits of Atlassian Cloud Adoption? How does Atlassian Cloud ensure data residency and compliance?

Digital Transformation 52

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Data Pine

SEPTEMBER 29, 2022

Engineered to be the “Swiss Army Knife” of data development, these processes prepare your organization to face the challenges of digital age data, wherever and whenever they appear. Data quality refers to the assessment of the information you have, relative to its purpose and its ability to serve that purpose.

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Data Pine

FEBRUARY 22, 2022

They can govern the implementation with a documented business case and be responsible for changes in scope. Employ a Chief Data Officer (CDO). Big data guru Bernard Marr wrote about The Rise of Chief Data Officers. On the flip side, document everything that isn’t working. Develop a “Data Dictionary”.

Business Intelligence 87

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Cprime

APRIL 16, 2024

Generative AI in Energy and Materials FAQs addressed in this article: What is generative AI’s role in the energy and materials sector? Safeguarding Data Privacy and Security As Gen AI applications often rely on vast amounts of data, including potentially sensitive information, data privacy and security become paramount.

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Astera

JANUARY 18, 2024

In this article, we will explore some of the best Talend alternatives so you can make an informed decision when deciding between  data integration tools. Manage All Your Data From End-to-End With a Single, Unified Platform Looking for the best Talend alternative? In fact, it has an overall support rating of 6.6/10—this

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Ntara

MAY 18, 2021

In this article, we’ll cover what we’ve learned through building connectors between inRiver and Salesforce—and what you should know before you tackle an integration. As much as you can, we recommend having your product data standardized and enriched before moving ahead with either inRiver or Salesforce. Image configurations.

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MindsMapped

JULY 18, 2020

Most people reading this article would have heard about this before. I hope this article was able to give you a view about who the business analysts and business analytics experts are. Business Analysts and Business Analytics – Differences. Business Analyst. Functional Business Analyst is a widely used term across the board.

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Data Pine

DECEMBER 11, 2019

With a new year on the horizon, in this article, we’ll explore 10 essential SaaS trends that will stand out in 2020. Today, most companies are in the process of implementing various business intelligence strategies, turning to SaaS BI tools to assist them in their efforts. 2019 was a breakthrough year for the SaaS world in many ways.

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The BAWorld

NOVEMBER 22, 2021

Top Data Analytics terms are explained in this article. Data Analytics Terms & Fundamentals. Irregularities and disorganization make it challenging to handle and work, making it more complex than structured data. Data Workflow Elements. Data Governance. It also requires more storage.

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