Analysts Corner

MARCH 9, 2023

Why learning Excel is important for a career working with data Image used with permission from Hemanand Vadivel, Co-founder codebasics.io This article was first published in The Data Pub Newsletter on Substack on January 5, 2023. Why do business and data analysis job roles not always explicitly mention Excel as required skill?

Data Quality 130

Data Quality Data Analytics Data Analytics Skillset 130

Dataversity

JULY 22, 2022

Economic disruptions are forcing organizations to rethink the way they plan. The post 3 Data Management Tips to Help Plan for the Day After Tomorrow appeared first on DATAVERSITY. Disruptions, whether geopolitical, pandemic, legislative, or workforce-related, never seem to end. While we may wish […].

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Analysts Corner

NOVEMBER 24, 2022

In this article, we Define the terms business analysis and business analyst, outline the difference between a business analyst and data analyst, outline the key responsibilities of a business analyst, and outline key skills sets needed for them to succeed in their role. As a business analyst you will need to analyze data.

Data Governance 130

Data Governance Business Analysis Business Analysis Government 130

Dataversity

MARCH 29, 2024

Instead of starting data protection strategies by planning backups, organizations should flip their mindset and start by planning recovery: What data needs to be recovered first? What systems […] The post World Backup Day Is So 2023 – How About World Data Resilience Day?

Planning 299

Planning Data Governance Data Quality Data Architecture 299

ElegantJ BI

SEPTEMBER 15, 2017

Requirements Planning for Data Analytics Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs. If you select the right solution, you can ensure data and personal security and provide appropriate access at all levels of the organization.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

Requirements Planning for Data Analytics Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs. If you select the right solution, you can ensure data and personal security and provide appropriate access at all levels of the organization.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

Requirements Planning for Data Analytics. Your organization can enjoy an interactive view and clean, clear data so that it is easier to use and interpret to provide data quality and clear watermarks to identify the source of data. Data Governance and Self-Serve Analytics Go Hand in Hand.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

Astera

JANUARY 18, 2024

Fivetran is a low-code/no-code ELT (Extract, load and transform) solution that allows users to extract data from multiple sources and load it into the destination of their choice, such as a data warehouse. So, in this article, we will explore some of the best alternatives to Fivetran.

Data Warehouse 52

Data Warehouse Data Quality Data Management Government 52

Netmind

MARCH 9, 2021

Organizations need to develop their ability to obtain and use relevant data that provides information-generation, knowledge, and, ultimately, learning for better decision-making. In this article, rather than getting into types of metrics, indicators, or specific techniques, I want to focus on how organizations can develop this capability.

Data Governance 52

Data Governance Government Data Requirement Vision 52

Netmind

NOVEMBER 1, 2020

Organizations need to develop their ability to obtain and use relevant data that provides information-generation, knowledge, and, ultimately, learning for better decision-making. In this article, rather than getting into types of metrics, indicators, or specific techniques, I want to focus on how organizations can develop this capability.

Data Governance 52

Data Governance Government Data Requirement Vision 52

Dataversity

AUGUST 11, 2023

Data represents the lifeblood of any organization, whether gathered and analyzed for boosting sales, developing new marketing strategies, improving customer satisfaction, or long-range strategic planning. Key decision-makers would be lost without it.

Planning 130

Planning Data Governance Data Quality Government 130

Dataversity

OCTOBER 6, 2021

IDC’s Future of Work 2021 Survey shows that 47% of organizations in Europe are planning to implement robotic process automation (RPA) in the next 18 months and 39% are planning to implement […]. While many organizations are already riding the wave of automation, some are just starting their automation journeys.

Planning 130

Planning Data Governance Data Quality Government 130

Dataversity

JANUARY 27, 2021

Innovations in data-driven intelligence continue to power transformation initiatives for modern businesses. While these innovations improve how we collect, store, manipulate, and analyze data, that is not enough to fully leverage data. Click to learn more about author Amy O’Connor.

Innovation 246

Innovation Data Quality Data Governance Planning 246

Tableau

SEPTEMBER 23, 2021

Editor’s note: This article originally appeared on CIO.com. If we asked you, “What does your organization need to help more employees be data-driven?” where would “better data governance” land on your list? A data governance framework. Identify root causes of data governance to drive impactful change.

Data Governance 92

Data Governance Government Data Quality Change Management 92

Tableau

SEPTEMBER 23, 2021

Editor’s note: This article originally appeared on CIO.com. If we asked you, “What does your organization need to help more employees be data-driven?” where would “better data governance” land on your list? A data governance framework. Identify root causes of data governance to drive impactful change.

Data Governance 81

Data Governance Government Data Quality Change Management 81

ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business.

Data Management 130

Data Management Data Warehouse Data Governance Government 130

ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business. Data Warehouse.

Data Management 130

Data Management Data Warehouse Data Governance Government 130

ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business. Data Warehouse.

Data Management 130

Data Management Data Warehouse Data Governance Government 130

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? Organizations must also establish policies and procedures to ensure data quality and compliance.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

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

Data Management Master Data Management Data Warehouse Government 52

Astera

OCTOBER 30, 2023

The quality and depth of data can, however, differ greatly, and frequently, raw data may not offer the insights required to produce effective outcomes. Data enrichment is useful in this situation. It allows you to cross-reference, refine, and weave together data from multiple sources to make a unified whole.

E-Commerce 40

E-Commerce Talent Acquisition Healthcare Data Quality 40

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? Pros: Support for multiple data sources and destinations.

IBM Support 52

IBM Support IBM Maintenance IBM cost Data Warehouse 52

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. They look after: Prototyping and usability testing Learning about new trends and best practice Interaction design.

Business Analysis 46

Business Analysis Business Analysis Requirements Gathering Documentation 46

Dataversity

JUNE 23, 2021

The role of the chief data officer (CDO) has evolved more over the last decade than any of the C-suite. As companies plan for a rebound from the pandemic, the CDO […]. The post Speed Up AI Development by Hiring a Chief Data Officer appeared first on DATAVERSITY.

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Data Pine

FEBRUARY 22, 2022

A planned BI strategy will point your business in the right direction to meet its goals by making strategic decisions based on real-time data. Taking the time to plan and organize an efficient BI strategy will skyrocket your business performance. In today’s crowded business environment, everyone wants to work with data.

Business Intelligence 87

Business Intelligence Business Intelligence Chief Data Officer Government 87