Sisense

FEBRUARY 16, 2021

Every aspect of analytics is powered by a data model. A data model presents a “single source of truth” that all analytics queries are based on, from internal reports and insights embedded into applications to the data underlying AI algorithms and much more. Data modeling organizes and transforms data.

Data Modelling 52

Data Modelling Data Warehouse Banking Real-time Data 52

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy.

Data Modelling 84

Data Modelling Big Data Data Analytics Data Analytics 84

ElegantJ BI

JUNE 1, 2022

An integrated solution provides single sign-on access to data sources and data warehouses.’ You can create common data models and BI object templates to publish across tenants with a single click. Integrating augmented analytics within your existing software solutions is simple.

Data Warehouse 130

Data Warehouse Data Modelling Data Architecture Embedded Analytics 130

ElegantJ BI

JUNE 1, 2022

An integrated solution provides single sign-on access to data sources and data warehouses.’ You can create common data models and BI object templates to publish across tenants with a single click. Integrating augmented analytics within your existing software solutions is simple.

Data Warehouse 130

Data Warehouse Data Modelling Data Architecture Embedded Analytics 130

ElegantJ BI

JUNE 1, 2022

An integrated solution provides single sign-on access to data sources and data warehouses.’. The integrated augmented analytics approach includes simple tenant management to deploy with a shared data model for single-tenant mode or an isolated data model for multi-tenant mode and software as a service (SaaS) applications.

Data Warehouse 130

Data Warehouse Data Modelling Data Architecture Embedded Analytics 130

Astera

MAY 25, 2023

Unlocking the Potential of Amazon Redshift Amazon Redshift is a powerful cloud-based data warehouse that enables quick and efficient processing and analysis of big data. Amazon Redshift can handle large volumes of data without sacrificing performance or scalability. What Is Amazon Redshift? 

Data Warehouse 52

Data Warehouse Data Modelling Banking Real-time Data 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.

Data Warehouse 130

Data Warehouse Data Quality Documentation Data Governance 130

Smart Data Collective

NOVEMBER 18, 2020

Data Mining Techniques and Data Visualization. Data Mining is an important research process. After you’ve learned everything you need to analyze data and try your hand at open competitions, start looking for a job. Data Science vs Data Mining: Concluding Thoughts. Practical experience.

Data Mining 357

Data Mining Big Data Artificial Intelligence Data Warehouse 357

Sisense

JULY 8, 2020

Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. In recent years we’ve seen data become vastly more available to businesses. This has allowed companies to become more and more data driven in all areas of their business.

Data Warehouse 90

Data Warehouse Embedded Analytics Real-time Data Documentation 90

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. Award-winning customer support.

Data Warehouse 52

Data Warehouse Data Quality Data Management Government 52

The Data Administration Newsletter

APRIL 19, 2022

Introduction We are living in the age of a data revolution, and more corporations are realizing that to lead—or in some cases, to survive—they need to harness their data wealth effectively.

Data Warehouse 72

Data Warehouse Data Modelling Data Management Business Intelligence 72

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 ensures data quality, consistency, and compliance with regulations.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

MAY 30, 2024

Variability: The inconsistency of data over time, which can affect the accuracy of data models and analyses. This includes changes in data meaning, data usage patterns, and context. Visualization: The ability to represent data visually, making it easier to understand, interpret, and derive insights.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Astera

JANUARY 31, 2024

So, in this article we will explore some of the most capable SQL ETL tools for data integration. While SSIS is Microsoft’s own ETL service, it’s not the only player in the data integration landscape that enables users to implement ETL in SQL Server, as we’ll see later in the article. Azure SQL Database).

Data Warehouse 52

Data Warehouse Visualization Data Management Data Quality 52

Actian

JULY 30, 2019

Data warehouse modernization. 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. You can read my full article here.

Data Warehouse 8

Data Warehouse Data Modelling Data Analytics Data Analytics 8

The BAWorld

NOVEMBER 22, 2021

Top Data Analytics terms are explained in this article. Data Analytics Terms & Fundamentals. Data Modeling. Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Sisense

FEBRUARY 24, 2021

Clearly, data is becoming more important to organizations. In this article, we explore the role and responsibilities of the chief data officer and the challenges they are facing. The role of the chief data officer. Not all organizations are at the same point in their data journey.

Chief Data Officer 69

Chief Data Officer Data Warehouse Big Data Innovation 69

Whizlabs

APRIL 22, 2021

In this article, you will get to know about some of the reasons and supporting information about why Microsoft Power Platform is an important skill to achieve in the year 2021. This year is a digital age, and your business needs to implement strategies to make use of available data and reports for further productivity planning.

Data Warehouse 88

Data Warehouse Data Automation Data Modelling Planning 88

Ntara

JULY 26, 2021

What is a “homegrown” product data system? Most manufacturing organizations have some kind of database or data warehouse that holds lots and lots of company information. If this sounds like you, and you haven’t intentionally setup a PIM or other data management system, this article is for you.

Data Warehouse 52

Data Warehouse Digital Logistics Process Analysis 52

Ntara

JULY 26, 2021

What is a “homegrown” product data system? Most manufacturing organizations have some kind of database or data warehouse that holds lots and lots of company information. If this sounds like you, and you haven’t intentionally setup a PIM or other data management system, this article is for you.

Data Warehouse 52

Data Warehouse Digital Logistics Process Analysis 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.). Operational technology includes, for example, embedded sensors within manufacturing equipment, telemetry from operations components deployed in the field (e.g.,

Data Management 40

Data Management Supply Chain Data Warehouse Artificial Intelligence 40

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. What is ETL? Let’s break down each step: 1.

Data Warehouse 214

Data Warehouse Data Quality Data Analytics Data Analytics 214

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. Because of its scalability, it’s often used in corporate data warehouses and cloud computing applications.

Documentation 52

Documentation Cloud Computing Data Security Data Warehouse 52

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. Because of its scalability, it’s often used in corporate data warehouses and cloud computing applications.

Documentation 52

Documentation Cloud Computing Data Security Data Warehouse 52

Sisense

APRIL 24, 2019

In organizations that operate without a data warehouse or separate analytical database for reporting, the only source of the latest and up-to-date data may be in the live production database. In a previous article, we covered best practices to define business requirements for BI.

Data Warehouse 111

Data Warehouse Data Modelling 111

MindsMapped

JULY 18, 2020

Most people reading this article would have heard about this before. Business Analytics mostly work with data and statistics. They primarily synthesize data and capture insightful information through it by understanding its patterns. Functional Business Analyst is a widely used term across the board. Business Analytics.

Business Analysis 46

Business Analysis Business Analysis Requirements Gathering Documentation 46

Dataversity

AUGUST 21, 2023

A collection of facts from which inferences can be made is called data. Data is the cornerstone of contemporary society and is crucial to many facets of people’s lives. In order to gain knowledge and make wise decisions, […] The post Data Provisioning: Ingest, Curate, and Publish appeared first on DATAVERSITY.

Data Warehouse 130

Data Warehouse Data Modelling Data Architecture 130

Insight Software

OCTOBER 24, 2022

In this article, we’ll address the various ways that software companies (including SaaS vendors) can build analytics into their products. That includes connectivity to modern data stores such as NoSQL, multisource, streaming, and search engine sources using data connectors built specifically for each source.

IBM Support 52

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.

IBM Support 52

IBM Support IBM Expert IBM Maintenance Supply Chain 52

Dataversity

MARCH 22, 2021

This announcement is interesting and causes some of us in the tech industry to step back and consider many of the factors involved in providing data technology […]. The post Where Is the Data Technology Industry Headed? Click here to learn more about Heine Krog Iversen.

Planning 246

Planning Data Warehouse Data Quality Data Modelling 246

Dataversity

APRIL 5, 2021

However, most enterprises are hampered by data strategies that leave teams flat-footed when […]. The post Why the Next Generation of Data Management Begins with Data Fabrics appeared first on DATAVERSITY. Click to learn more about author Kendall Clark. The mandate for IT to deliver business value has never been stronger.

Data Management 244

Data Management Agile Data Warehouse Data Modelling 244

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.

Data Quality 96

Data Quality Monitoring Big Data Government 96

Data Pine

MARCH 31, 2022

This could involve anything from learning SQL to buying some textbooks on data warehouses. 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.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Dataversity

FEBRUARY 17, 2021

Click to learn more about author Steve Zagoudis. Successful problem solving requires finding the right solution to the right problem. We fail more often because we solve the wrong problem than because we get the wrong solution to the right problem.” – Russell L.

Data Warehouse 130

Data Warehouse Data Modelling Data Governance Data Quality 130

Insight Software

MAY 1, 2023

These sit on top of data warehouses that are strictly governed by IT departments. The role of traditional BI platforms is to collect data from various business systems. It is organized to create a top-down model that is used for analysis and reporting. Look for the ability to parameterize and tokenize.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52