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

BizAcuity

SEPTEMBER 22, 2022

Teradata is based on a parallel Data Warehouse with shared-nothing architecture. Data is stored in a row-based format. It supports a hybrid storage model in which frequently accessed data is stored in SSD whereas rarely accessed data is stored on HDD. Not being an agile cloud data warehouse.

Data Warehouse 130

Data Warehouse Monitoring Planning Data Modelling 130

BizAcuity

APRIL 1, 2023

Teradata is based on a parallel Data Warehouse with shared-nothing architecture. Data is stored in a row-based format. It supports a hybrid storage model in which frequently accessed data is stored in SSD whereas rarely accessed data is stored on HDD. Plan for system and table space.

Data Warehouse 130

Data Warehouse Monitoring Planning Data Modelling 130

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

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

Analysts Corner

OCTOBER 26, 2023

Business Intelligence (BI) is a set of tools, technologies, and practices that transform raw data into meaningful and actionable information, empowering organizations to make informed decisions, optimize processes, and drive better business outcomes.

Business Intelligence 130

Business Intelligence Business Intelligence Supply Chain Data Mining 130

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 Planning Government Monitoring 162

ElegantJ BI

NOVEMBER 22, 2017

Advanced Analytics provides a 360 degree view of data from data marts, data warehouses, best-of-breed, legacy systems and other data sources.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Warehouse 130

ElegantJ BI

NOVEMBER 22, 2017

Advanced Analytics provides a 360 degree view of data from data marts, data warehouses, best-of-breed, legacy systems and other data sources.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Warehouse 130

ElegantJ BI

NOVEMBER 22, 2017

Advanced Analytics provides a 360 degree view of data from data marts, data warehouses, best-of-breed, legacy systems and other data sources.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Warehouse 130

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 Planning Government Monitoring 138

ElegantJ BI

AUGUST 10, 2016

It can monitor and manage Sarbanes-Oxley Act SOX controls, and data security and access rights controls, and establish key reports and automated processes to alert the business to issues when a threshold is crossed, or an issue is identified.

Data Governance 100

Data Governance Government Finance Business Intelligence 100

ElegantJ BI

AUGUST 10, 2016

It can monitor and manage Sarbanes-Oxley Act SOX controls, and data security and access rights controls, and establish key reports and automated processes to alert the business to issues when a threshold is crossed, or an issue is identified.

Data Governance 100

Data Governance Government Finance Business Intelligence 100

ElegantJ BI

AUGUST 10, 2016

Provide predictive analysis and planning information and reporting to ensure consistent results. Support sales, new product development, insurance and risk management professionals, and all budget, planning and financial reporting requirements. Identify problems, opportunities, and risks.

Data Governance 100

Data Governance Government Finance Business Intelligence 100

Data Pine

MAY 9, 2019

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. They enable powerful data visualization. 1) The raw data.

Business Intelligence 108

Business Intelligence Business Intelligence Procurement Data Warehouse 108

Insight Software

JANUARY 20, 2021

Because it is not always practical to migrate detailed transactional information when moving to a new ERP system, many businesses make do with a workaround or simply do without, excluding valuable legacy data from their current reporting systems. When you involve multiple software systems, multiple data models are inevitably present as well.

Data Management 95

Data Management Data Analytics Data Analytics E-Commerce 95

Domo

JULY 31, 2019

You shower them with nutritional data, health studies, and a scheduled regimen. The research and planning alone would take an enormous amount of time and energy and is usually met with both mixed results and emotional stress. Your data Use this as an opportunity to get your data warehouse in order to make the most out of AR.

Retail 52

Retail Planning E-Commerce Digital Transformation 52

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. One of the best books on building a BI system, hands down.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

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 100

Data Warehouse Planning Government Monitoring 100

BizAcuity

APRIL 14, 2022

Be it supply chain resilience, staff management, trend identification, budget planning, risk and fraud management, big data increases efficiency by making data-driven predictions and forecasts. With adequate market intelligence, big data analytics can be used for unearthing scope for product improvement or innovation.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Whizlabs

APRIL 22, 2021

Cloud services are being used for storing and using more data from various sources to help business organizations grow. But, the major concern for most of the companies in the present era is to make the data work seamlessly and efficiently after the infrastructure is built.

Data Warehouse 88

Data Warehouse Data Automation Data Modelling Planning 88

The BAWorld

SEPTEMBER 18, 2024

Properly executed, data integration cuts IT costs and frees up resources, improves data quality, and ignites innovation—all without systems or data architectures needing massive rework. How does data integration work? There exist various forms of data integration, each presenting its distinct advantages and disadvantages.

Data Warehouse 52

Data Warehouse Finance Data Architecture Banking 52

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

Insight Software

DECEMBER 17, 2020

In part, increases in processing power that make it possible for the organization, analysis, and (meaningful) presentation of ever-larger data sets are driving increased use. Legacy tools required a deep understanding of the source data and careful advance planning to determine the use of the resulting information.

Data Visualization 72

Data Visualization Finance Visualization Data Warehouse 72

Sisense

MARCH 6, 2019

Every year there’s high anticipation to see what key message Gartner will present in the yearly Data & Analytics Summits. Even the perfect BI platform can find itself in an unfulfilled project if there’s no champion for BI, lack of planning, or misalignment on the attention needed for execution.

Data Analytics 75

Data Analytics Data Analytics Data Warehouse Agile 75

Astera

JANUARY 3, 2023

Dimensional modeling is among the most preferred design approaches for building analytics-friendly data warehouses. First introduced in 1996, Kimball ’ s dimension al data models have now bec o me cornerstones of modern data warehouse design and development. Our dimensional data model is not set in stone.

Data Warehouse 52

Data Warehouse Data Modelling Business Intelligence Business Intelligence 52

Sisense

MAY 11, 2021

Data modeling is a sprawling topic but, at its core, it is the function that takes data in one structure and outputs it in another structure. The output structure is perhaps the most interesting and ultimately should be the key driver for how we model our data. When it comes to data modeling, function determines form.

Data Modelling 84

Data Modelling Big Data Data Analytics Data Analytics 84

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

JUNE 30, 2020

Analytics acts as the source for data visualization and contributes to the health of any organization by identifying underlying models and patterns and predicting needs. Visualizations: past, present, and future. This data is gathered into either on-premises servers or increasingly into cloud data warehouses and data lakes.

Data Visualization 93

Data Visualization Visualization Predictive Analytics Data Warehouse 93

Data Pine

JULY 1, 2020

Ad hoc data analysis is the discoveries and subsequent action a user takes as a result of exploring, examining, and drawing tangible conclusions from an ad hoc report. In other words, charts are much powerful than pure numbers, columns, or rows of raw data. Artificial intelligence features.

Retail 104

Retail Healthcare Visualization Business Intelligence 104

Astera

MAY 31, 2024

Two key disciplines have emerged at the forefront of this approach: data science vs data analytics. While both fields help you extract insights from data, data analytics focuses more on analyzing historical data to guide decisions in the present. Data warehouses and data lakes play a key role here.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

Insight Software

JANUARY 15, 2021

If you overlook key requirements during the planning and design phase, if you miss deadlines, or if estimates for custom development are inaccurate, implementation projects can run late or go over budget. A non-developer can build a custom data warehouse with Jet Analytics in as little as 30 minutes.

Data Warehouse 72

Data Warehouse Supply Chain Finance Data Visualization 72

Data Pine

NOVEMBER 11, 2021

a) Data Connectors Features. For a few years now, Business Intelligence (BI) has helped companies to collect, analyze, monitor, and present their data in an efficient way to extract actionable insights that will ensure sustainable growth. c) Join Data Sources. Table of Contents. 2) Top Business Intelligence Features.

Business Intelligence 85

Business Intelligence Business Intelligence Embedded Analytics Visualization 85

Astera

DECEMBER 16, 2022

These large data volumes present numerous data management challenges for companies, especially those with outdated management systems. Let’s explore the 7 data management challenges that tech companies face and how to overcome them. Data Management Challenges. Challenge#1: Accessing organizational data.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

DECEMBER 16, 2022

These large data volumes present numerous data management challenges for companies, especially those with outdated management systems. Let’s explore the 7 data management challenges that tech companies face and how to overcome them. Data Management Challenges. Challenge#1: Accessing organizational data.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

DECEMBER 2, 2022

These large data volumes present numerous challenges for companies, especially those with outdated data management systems. Let’s explore the 7 data management challenges that tech companies face and how to overcome them. Data Management Challenges. Challenge#1: Accessing organizational data.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

AUGUST 29, 2024

It enables easy data sharing and collaboration across teams, improving productivity and reducing operational costs. Identifying Issues Effective data integration manages risks associated with M&A. It includes: Identifying Data Sources involves determining the specific systems and databases that contain relevant data.

Data Governance 52

Data Governance Data Warehouse Data Quality Government 52