Jet Global

SEPTEMBER 4, 2020

Now, instead of making a direct call to the underlying database to retrieve information, a report must query a so-called “data entity” instead. Each data entity provides an abstract representation of business objects within the database, such as, customers, general ledger accounts, or purchase orders. Data Lakes.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

datapine

FEBRUARY 22, 2022

Decide which are necessary to your business intelligence strategy. This should also include creating a plan for data storage services. Are the data sources going to remain disparate? Or does building a data warehouse make sense for your organization? Rely on interactive data visualizations.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

BI-Survey

FEBRUARY 17, 2020

From operational systems to support “smart processes”, to the data warehouse for enterprise management, to exploring new use cases through advanced analytics : all of these environments incorporate disparate systems, each containing data fragments optimized for their own specific task. .

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

AWS Big Data

MARCH 7, 2023

This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities. Data lakes are more focused around storing and maintaining all the data in an organization in one place.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

AWS Big Data

JULY 31, 2023

This solution decouples the ETL and analytics workloads from our transactional data source Amazon Aurora, and uses Amazon Redshift as the data warehouse solution to build a data mart. We use Amazon Redshift as the data warehouse to implement the data mart solution. Navigate to the Visual tab.

Sales 52

Sales Data Warehouse Visualization Testing 52

Jet Global

AUGUST 14, 2019

Which problems do disparate data points speak to? And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Jet Global

JULY 29, 2020

It’s also important to consider your business objectives, both inside and outside finance. While it has many advantages, it’s not built to be a transactional reporting tool for day-to-day ad hoc analysis or easy drilling into data details. Interactive dashboards that provide reports with a rich variety of visualization tools.

Reporting 98

Reporting Cost-Benefit Consulting Finance 98

Alation

AUGUST 9, 2021

It isn’t uncommon for a business user to see something on a dashboard that intrigues them and submit a request to the BI team for that data. It is eventually shared with them in a CSV file that needs to be opened in either Excel or Google Sheets for analysis and visualization. Let Humans Be Humans Part 1: What-If Scenarios.

Analytics 98

Analytics Data-driven Contextual Data Data Analytics 98

Smart Data Collective

JULY 22, 2019

When you don’t spend long hours gathering stats from all kinds of different formats, when your real-time data is always at hand, and when you have a clear picture of what’s going on at the moment, you can react faster and better. A BI tool is a binding element that unites your business objectives and resources.

Business Intelligence 80

Business Intelligence Cost-Benefit Dashboards Visualization 80

Jet Global

OCTOBER 2, 2019

Which problems do disparate data points speak to? And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Sisense

MAY 11, 2021

Both of these concepts resonated with our team and our objectives, and so we found ourselves supporting both to some extent. Here at Sisense, we think about this flow in five linear layers: Raw This is our data in its raw form within a data warehouse.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Jet Global

DECEMBER 22, 2021

The concept of executive dashboards has become increasingly popular in recent years, as technology has made it possible to collect more data, then to analyze and summarize it in ways that vividly conveys what’s happening in the business in real time. Download Now: Select Your Closest Time Zone -- Select One -- Business Email *.

Dashboards 52

Dashboards Key Performance Indicator Reporting Recreation/Entertainment 52

Birst BI

OCTOBER 30, 2018

This may involve integrating different technologies, like cloud sources, on-premise databases, data warehouses and even spreadsheets. Add the predictive logic to the data model. With the source data now fully integrated into an analytic model, add and test different predictive algorithms.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Paul Blogs on BI

JANUARY 12, 2018

Hopefully, SAP has learned from its mistakes with the failed Lumira and Visual Design Studio products and will make sure they build in seamless integration with BusinessObjects out of the box. SAP is spending tremendous resources to try to get SAC to a point where it can effectively compete with the other BI solutions.

Data Warehouse 45

Data Warehouse Data Processing Business Intelligence Visualization 45

Alation

AUGUST 26, 2021

Today, BI represents a $23 billion market and umbrella term that describes a system for data-driven decision-making. BI leverages and synthesizes data from analytics, data mining, and visualization tools to deliver quick snapshots of business health to key stakeholders, and empower those people to make better choices.

Metadata 64

Metadata Data Governance Dashboards Software 64