Smart Data Collective

JULY 9, 2023

ETL (Extract, Transform, Load) is a crucial process in the world of data analytics and business intelligence. In this article, we will explore the significance of ETL and how it plays a vital role in enabling effective decision making within businesses.

Data Warehouse 264

Data Warehouse Data Quality Data Analytics Data Analytics 264

The BAWorld

NOVEMBER 22, 2021

Top Data Analytics terms are explained in this article. Learn these to develop competency in Business Analytics. Data Analytics Terms & Fundamentals. Consistency is a data quality dimension and tells us how reliable the data is in data analytics terms. Data Analytics.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

The BAWorld

JANUARY 8, 2025

Introduction Power BI is the leading tool for data analytics that is in such an ever-evolving field; it has played out a whole level when talking about data visualization and business intelligence. Most of the companies all over the different sectors make use of it for the transformation of raw data into meaningful insights.

Business Intelligence 52

Business Intelligence Business Intelligence Data Visualization Data Analytics 52

The BAWorld

SEPTEMBER 27, 2024

And therefore, to figure all this out, data analysts typically use a process known as data modeling. It forms the crucial foundation for turning raw data into actionable insights. Data modeling designs optimal data structures and relationships for storage, access, integrity, and analytics.

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Data Modelling IBM Maintenance IBM Support IBM cost 40

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. While it is true that advanced analytics can help every type and size of business, it is important to remember that YOUR organization is not like any other enterprise.

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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. While it is true that advanced analytics can help every type and size of business, it is important to remember that YOUR organization is not like any other enterprise.

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. While it is true that advanced analytics can help every type and size of business, it is important to remember that YOUR organization is not like any other enterprise.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

Astera

MAY 30, 2024

What Is Data Analytics? Data analytics is the science of analyzing raw data to draw conclusions about it. The process involves examining extensive data sets to uncover hidden patterns, correlations, and other insights. Data Mining : Sifting through data to find relevant information.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

The Data Administration Newsletter

JULY 21, 2021

There are such huge volumes of data generated in real-time that several businesses don’t know what to do with all of it. Unless big data is converted to actionable insights, there is nothing much an enterprise can do. And outdated data models no longer […].

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Analysts Corner

MARCH 7, 2023

Machine learning and data science are two critical components of business analytics. These technologies have transformed the way businesses operate and make decisions by leveraging data to gain insights and drive growth. If you like this article, please have a look at SETScholars and WACAMLDS. What is machine learning?

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Insight Software

AUGUST 4, 2023

Providing valuable insights from data that moves the business forward in achieving its strategic objectives is one of the most valuable skills any FP&A or Operational Planning (OP) professional can possess. Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.

Data Analytics 52

Data Analytics Data Analytics Finance Visualization 52

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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Data Warehouse Data Quality Documentation Data Governance 130

Analysts Corner

JULY 28, 2023

In this article, I would like to be on the professional side, so we do not talk about self-destructive machines and other fiction, but after you read it, you can prepare for the real future to increase your career. Companies also call it an IT data analyst or Business Intelligence analyst.

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Artificial Intelligence Business Analysis Business Analysis Predictive Analytics 130

Sisense

JULY 8, 2020

This has allowed companies to become more and more data driven in all areas of their business. In fact, being data driven has become ubiquitous and imperative to survival in today’s climate. This article will discuss at a high level how modern businesses are leveraging new technology to ingest a wider variety of data sources.

Data Warehouse 90

Data Warehouse Embedded Analytics Real-time Data Documentation 90

Data Pine

MARCH 25, 2022

Your Chance: Want to extract the maximum potential out of your data? Try our professional BI and analytics software for 14 days free! In an article tackling BI and Business Analytics, Better Buys asked seven different BI pros what their thoughts were on the difference between business intelligence and analytics.

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Predictive Analytics 105

Astera

MAY 25, 2023

Amazon Redshift can handle large volumes of data without sacrificing performance or scalability. Therefore, it helps businesses reduce data processing time and improve their analytics capabilities. In this article, we’ll discuss how Amazon Redshift works and how it compares to traditional on-premise data warehouses.

Data Warehouse 52

Data Warehouse Data Modelling Banking Real-time Data 52

Astera

DECEMBER 29, 2023

Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

DECEMBER 29, 2023

Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Whizlabs

APRIL 19, 2021

David is also a contributor to IEEE Cloud Computing and has published countless number of articles and books over the years. Michelle has more than 20 years of experience in the field of research in statistics, data analytics, consulting and market research. She is a frequent speaker at Leading Industry Events.

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Cloud Computing IBM Support IBM Maintenance IBM cost 145

Actian

JULY 30, 2019

Move your Netezza, Teradata or Exadata data warehouse that likely runs on obsolete, proprietary hardware to a shiny new system that runs in the cloud, costs a fraction of what you were paying before and can be turned on and off like a light switch. Data warehouse modernization projects come in many flavors. Is it that easy?

Data Warehouse 8

Data Warehouse Data Modelling Data Analytics Data Analytics 8

The Data Administration Newsletter

JANUARY 1, 2025

Research has shown that many people learn best when they see a story or information depicted in an image. Graphs, charts with colors, lines and shapes can often tell a story and communicate issues, challenges and opportunities in a business environment.

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Visualization Data Visualization Data Modelling Business Intelligence 52

Actian

JULY 11, 2019

Some companies are relying on operational technology to support, for example, marketing, sales and digital delivery of services, but that is the topic of a future article.). While standardization is unlikely, component interoperability is improving and emerging technologies, such as AI, are making data analytics easier.

Data Management 40

Data Management Supply Chain Data Warehouse Artificial Intelligence 40

MindsMapped

JANUARY 5, 2021

In this article, we will exploring the core knowledge areas and linking these core knowledge areas to the practicalities of the business analysis profession. This task describes a set of requirements or designs in detail using analytical techniques such as data modelling, user stories, use cases and scenarios, among others.

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Business Analysis Business Analysis Skillset Solution Evaluation 94

Astera

JUNE 8, 2023

In this article, we’ll dive into both PostgreSQL and Oracle, taking an in-depth look at their similarities and differences so you can make an informed decision as to which one is best for your specific business needs. Oracle offers an expansive set of tools designed specifically to support enterprise-level applications.

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Astera

JUNE 8, 2023

In this article, we’ll dive into both PostgreSQL and Oracle, taking an in-depth look at their similarities and differences so you can make an informed decision as to which one is best for your specific business needs. Oracle offers an expansive set of tools designed specifically to support enterprise-level applications.

Documentation 52

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Data Pine

MARCH 31, 2022

A data scientist has a similar role as the BI analyst, however, they do different things. While analysts focus on historical data to understand current business performance, scientists focus more on data modeling and prescriptive analysis. They can help a company forecast demand, or anticipate fraud.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

The Data Administration Newsletter

MAY 15, 2024

In discussions with data management professionals, conversations often veer toward the technical intricacies of migration to the cloud or algorithm optimization, overshadowing the core business objectives that originally spurred these initiatives.

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Astera

AUGUST 28, 2024

However, with the abundance of different types of data analysis tools in the market, what was supposed to be a simple task has become a complex undertaking. This article aims to simplify the process of finding the data analytics platform that meets your organization’s specific needs.

IBM Support 40

IBM Support IBM Maintenance IBM cost Data Mining 40

The BAWorld

MARCH 19, 2025

If you are ready to get certified but are uncertain which certification to pursue, this article is for you. PL-300: Microsoft Power BI Data Analyst Who Should Take It? Those who focus on transforming raw data into actionable insights using Power BI. Ideal for professionals who create dashboards, reports, and data models.

Data Modelling 49

Data Modelling Data Warehouse Visualization Documentation 49

Insight Software

MAY 1, 2023

Third-party data might include industry benchmarks, data feeds (such as weather and social media), and/or anonymized customer data. Four Approaches to Data Analytics The world of data analytics is constantly and quickly changing. The application thus becomes a vital information hub.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

OCTOBER 24, 2022

Adding world-class analytics to your application is easier said than done. In this article, we’ll address the various ways that software companies (including SaaS vendors) can build analytics into their products. The Definitive Guide to Embedded Analytics. Logi Analytics. Download Now.

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IBM Support IBM Maintenance Embedded Analytics IBM Expert 52

Insight Software

AUGUST 31, 2022

This article reviews the basics of BEPS adoption and provides some tax accounting tips to help tax accounting teams manage these coming changes. These systems accurately collect and organize transfer pricing data, model various tax scenarios, identify gaps in targeted profitability, and enable you to make corrections before closing the books.

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IBM Support IBM Maintenance IBM Expert Supply Chain 52