BizAcuity

FEBRUARY 1, 2019

The solution here is to consolidate all of this data, gathered from different points at different times along the course of the event and store it in one consolidated form in a Data Warehouse. One of the many things that data warehouses allow is the chronological sifting of data.

Data Warehouse 183

Data Warehouse Business Intelligence Business Intelligence Planning 183

Smart Data Collective

APRIL 29, 2020

The extraction of raw data, transforming to a suitable format for business needs, and loading into a data warehouse. Data transformation. This process helps to transform raw data into clean data that can be analysed and aggregated. Data analytics and visualisation. Reference data management.

Data Management 219

Data Management Data Warehouse Master Data Management Digital Transformation 219

Smart Data Collective

SEPTEMBER 26, 2021

Data is processed to generate information, which can be later used for creating better business strategies and increasing the company’s competitive edge. It’s obvious that you’ll want to use big data, but it’s not so obvious how you’re going to work with it. Preserve information: Keep your raw data raw.

Documentation 262

Documentation Data Visualization Data Mining Visualization 262

ElegantJ BI

SEPTEMBER 30, 2021

In the first article in our two-part series, entitled, ‘ Data Warehouse, Data Lake, Data Mart, Data Hub: A Definition of Terms ’, we defined the terms and differences in the market so that businesses can better understand the possibilities of Data Warehouses, Data Marts, Data Lakes and Data Hubs.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

In the first article in our two-part series, entitled, ‘ Data Warehouse, Data Lake, Data Mart, Data Hub: A Definition of Terms ’, we defined the terms and differences in the market so that businesses can better understand the possibilities of Data Warehouses, Data Marts, Data Lakes and Data Hubs.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

In the first article in our two-part series, entitled, ‘ Data Warehouse, Data Lake, Data Mart, Data Hub: A Definition of Terms ’, we defined the terms and differences in the market so that businesses can better understand the possibilities of Data Warehouses, Data Marts, Data Lakes and Data Hubs.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

Smart Data Collective

JUNE 7, 2019

Using sensors, RFID tags and other tools can help deal with the flow of data in near real time. Volume – Companies gather data from different sources such as business transactions, social media, and other relevant data. How Can Big Data Stream Processing Help Emerging Markets?

Big Data 207

Big Data Real-time Data Data Warehouse Innovation 207

Astera

NOVEMBER 13, 2023

But have you ever wondered how data informs the decision-making process? The key to leveraging data lies in how well it is organized and how reliable it is, something that an Enterprise Data Warehouse (EDW) can help with. What is an Enterprise Data Warehouse (EDW)?

Data Warehouse 52

Data Warehouse E-Commerce Supply Chain Real-time Data 52

Analysts Corner

OCTOBER 26, 2023

Mastering Business Intelligence: Comprehensive Guide to Concepts, Components, Techniques, and Examples Introduction to Business Intelligence In today’s data-driven business environment, organizations must leverage the power of data to drive decision-making and improve overall performance.

Business Intelligence 130

Business Intelligence Business Intelligence Supply Chain Data Mining 130

BizAcuity

SEPTEMBER 22, 2022

Teradata is an integrated platform that provides functionality to store, access, and analyze organizational data on the Cloud as well as On-Premise infrastructure. Teradata is based on a parallel Data Warehouse with shared-nothing architecture. Data is stored in a row-based format. Not being an agile cloud data warehouse.

Data Warehouse 130

Data Warehouse Monitoring Planning Data Modelling 130

Astera

NOVEMBER 13, 2023

D ata is the lifeblood of informed decision-making, and a modern data warehouse is its beating heart, where insights are born. In this blog, we will discuss everything about a modern data warehouse including why you should invest in one and how you can migrate your traditional infrastructure to a modern data warehouse.

Data Warehouse 52

Data Warehouse Real-time Data Planning Agile 52

Astera

APRIL 13, 2023

In the digital age, a data warehouse plays a crucial role in businesses across several industries. It provides a systematic way to collect and analyze large amounts of data from multiple sources, such as marketing, sales, finance databases, and web analytics. What is a Data Warehouse?

Data Warehouse 52

Data Warehouse Data Mining Business Intelligence Business Intelligence 52

BizAcuity

APRIL 1, 2023

Introduction Teradata is an integrated platform that provides functionality to store, access, and analyze organizational data on the Cloud as well as On-Premise infrastructure. Teradata is based on a parallel Data Warehouse with shared-nothing architecture. Data is stored in a row-based format.

Data Warehouse 130

Data Warehouse Monitoring Planning Data Modelling 130

Astera

APRIL 7, 2023

Currently, around 30% of the world’s data is produced by the healthcare industry and this percentage is expected to reach 35% by 2025. The sheer amount of health-related data presents countless opportunities. By bringing together this data, from sources such as CRMs, medical records, etc.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 52

Analysts Corner

AUGUST 13, 2023

Data Collection: The first step is to gather data from various sources. This could include databases, data warehouses, file systems, or external data feeds. Data Cleaning: The collected data is then cleaned to remove any errors, duplicates, or irrelevant information.

Data Quality 130

Data Quality Data Warehouse Data Discovery Innovation 130

Sisense

APRIL 17, 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. Data warehouses have changed the way the world deals with data. Why use a materialized view? and other more complex tasks.

Data Warehouse 90

Data Warehouse Visualization 90

Juice Analytics

NOVEMBER 11, 2021

The symptoms we see are varied: lack of management support, lack of end-user adoption; poorly defined requirements; data warehouse projects that never seem to finish. And for each of these problems, the data industry has crafted different “solutions” or technologies to try to address them. We’ve got a lot to share in this area.

Data Warehouse 137

Data Warehouse 137

BizAcuity

AUGUST 1, 2022

With Jaspersoft, businesses can create multiple types of reports and subreports from any and all kinds of data sources with ease and flexibility. Businesses can build client-facing customer reports that present data textually and graphically. Reports and dashboards can be generated directly from the data warehouse or data lake.

IBM Support 130

IBM Support IBM cost IBM Maintenance Big Data 130

BizAcuity

MAY 16, 2022

In brief, business intelligence is about how well you leverage, manage and analyze business data. When data is stored in silos and the back-end systems are not able to process the massive amounts of data seamlessly, critical information may be lost. When information is at your fingertips, the possibilities are endless.

Business Intelligence 130

Business Intelligence Business Intelligence Data Mining Data Warehouse 130

ElegantJ BI

JUNE 17, 2015

I attended the Gartner Business Intelligence, Analytics and Information Management Summit, 2015 , held in India on June 9 and 10 in Mumbai. Since I couldn’t be in two places at the same time, I tried to make the choices that were most relevant to our team, our customers and our partners, and I chose the following sessions.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Discovery 130

ElegantJ BI

JUNE 17, 2015

I attended the Gartner Business Intelligence, Analytics and Information Management Summit, 2015 , held in India on June 9 and 10 in Mumbai. Since I couldn’t be in two places at the same time, I tried to make the choices that were most relevant to our team, our customers and our partners, and I chose the following sessions.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Discovery 130

ElegantJ BI

JUNE 17, 2015

I attended the Gartner Business Intelligence, Analytics and Information Management Summit, 2015 , held in India on June 9 and 10 in Mumbai. Do We Still Need a Data Warehouse – Roxanne Edijali. Navigating the Data Lake – Adam Ronthal. Interactive Visualizations for Everyone – Rita Sallam.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Discovery 130

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

BizAcuity

OCTOBER 7, 2019

It also saves the organization’s licensing costs by limiting to a single data warehouse. Because of all the mergers and acquisitions, they ended up with several versions of data and information across various sources. They wanted to have a single consolidated data warehouse with unified data structures and process.

Data Warehouse 162

Data Warehouse Government Planning Monitoring 162

Insight Software

JANUARY 20, 2021

That process, broadly speaking, is called data management. As the volume of available information continues to grow, data management will become an increasingly important factor in effective business management. Pile on external data from suppliers and external service providers, and it begins to appear unmanageable.

Data Management 95

Data Management Data Analytics Data Analytics E-Commerce 95

Data Pine

MAY 9, 2019

Such jargon leads to business intelligence buzzwords that can dilute the meaning of important information. In his book, Waitzkin states that the best chess players are those that can take in the most information in a short span of time. However, it can only process so much information at any one time and requires a lot of energy.

Business Intelligence 108

Business Intelligence Business Intelligence Procurement Data Warehouse 108

BizAcuity

OCTOBER 7, 2019

It also saves the organization’s licensing costs by limiting to a single data warehouse. Because of all the mergers and acquisitions, they ended up with several versions of data and information across various sources. They wanted to have a single consolidated data warehouse with unified data structures and process.

Data Warehouse 138

Data Warehouse Government Planning Monitoring 138

Juice Analytics

DECEMBER 30, 2019

Dave has over 35 years of experience in project management, healthcare software, extensive information systems and analysis of information systems We asked Dave what he loved about Juice and what exactly made him believe in this company and help to champion Juice to others around the globe.

Data Warehouse 91

Data Warehouse Healthcare Project Management 91

ElegantJ BI

AUGUST 10, 2016

The need to up-to-date, integrated information and analytical data is crucial to the success of the organization and certainly to the accountants, auditors, financial investment professionals and finance managers in any enterprise.

Data Governance 100

Data Governance Government Finance Business Intelligence 100

ElegantJ BI

AUGUST 10, 2016

The need to up-to-date, integrated information and analytical data is crucial to the success of the organization and certainly to the accountants, auditors, financial investment professionals and finance managers in any enterprise.

Data Governance 100

Data Governance Government Finance Business Intelligence 100

ElegantJ BI

AUGUST 10, 2016

The need to up-to-date, integrated information and analytical data is crucial to the success of the organization and certainly to the accountants, auditors, financial investment professionals and finance managers in any enterprise. Assure data security for proprietary information, personal user data, customer data, etc.

Data Governance 100

Data Governance Government Finance Business Intelligence 100

Data Pine

OCTOBER 25, 2022

That said, we’ve selected 16 of the world’s best business intelligence books – invaluable resources that have not only earned a great deal of critical acclaim but are what we consider to be wonderfully presented, incredibly informational, and decidedly digestible. “Data is what you need to do analytics.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

Domo

MAY 7, 2021

Gartner defines it as such: “The information assets that organizations collect, process, and store during regular business activities but generally fail to use for other purposes.” ” Here’s a shortlist of dark data and the common places it lives: Documents. Data repositories.

Data Warehouse 98

Data Warehouse Documentation Retail Finance 98

Dataversity

NOVEMBER 1, 2021

Many in enterprise Data Management know the challenges that rapid business growth can present. Whether through acquisition or organic growth, the amount of enterprise data coming into the organization can feel exponential as the business hires more people, opens new locations, and serves new customers.

Data Governance 130

Data Governance Government Data Management Master Data Management 130

Astera

FEBRUARY 14, 2024

Data vault is an emerging technology that enables transparent, agile, and flexible data architectures, making data-driven organizations always ready for evolving business needs. What is a Data Vault?  A data vault is a data modeling technique that enables you to build data warehouses for enterprise-scale analytics.

Data Warehouse 52

Data Warehouse Data Modelling Agile Data Quality 52

Astera

JANUARY 25, 2024

Reverse ETL (Extract, Transform, Load) is the process of moving data from central data warehouse to operational and analytic tools. How Does Reverse ETL Fit in Your Data Infrastructure Reverse ETL helps bridge the gap between central data warehouse and operational applications and systems.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Sisense

NOVEMBER 30, 2020

The emergence of AI and machine learning-based predictive analytics will lead to insights from the data that will also prove important to the app’s competitiveness. Customer conferencing usage stats as well as information around subscriber behaviors are both extremely valuable. Data-driven apps: Giving users the information they crave.

Embedded Analytics 98

Embedded Analytics Predictive Analytics Data Warehouse Innovation 98