Jet Global

NOVEMBER 5, 2020

It’s important to look beyond the surface, however, because there are some critical architectural changes that could dramatically affect how end-users get information out of the system. Let’s start with some background information. The Data Security Problem: How We Got Here.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. Data-driven DSS. Model-driven DSS use data and parameters provided by decision-makers, but Power notes they are usually not data-intensive.

Data mining 144

Data mining Data-driven Statistics OLAP 144

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

CIO Business Intelligence

JANUARY 20, 2023

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

erwin

JUNE 7, 2022

Designing databases for data warehouses or data marts is intrinsically much different than designing for traditional OLTP systems. Accordingly, data modelers must embrace some new tricks when designing data warehouses and data marts. Figure 1: Pricing for a 4 TB data warehouse in AWS.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

Jet Global

OCTOBER 7, 2020

You would need to pull those data from the line item detail of your customer invoices. To include detailed information about each inventory item on the report, you might also need to link the item number from the invoice detail to the item master table in which additional information on each SKU is stored.

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

FineReport

AUGUST 14, 2020

The reporting system is a general term applied to a wide range of applications that extract data from databases, organize these data into reports, manage and distribute these reports to the decision-makers to help them make better-informed business choices.

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

FineReport

JUNE 24, 2021

BI software solutions quickly and precisely deliver informative reports and, in the end, fit a solid basis for decision-making over business operations. Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. Data security.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

FineReport

JULY 16, 2021

With the advancement of information construction, enterprises have accumulated massive data base. Because the greater the amount of data, the greater the value of the data that can be obtained. Companies employ BI systems to deliver right information to right person at the right time with a right format.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

AWS Big Data

AUGUST 1, 2024

Large-scale data warehouse migration to the cloud is a complex and challenging endeavor that many organizations undertake to modernize their data infrastructure, enhance data management capabilities, and unlock new business opportunities. This makes sure the new data platform can meet current and future business goals.

Data Warehouse 100

Data Warehouse KPI Optimization Cost-Benefit 100

Jet Global

DECEMBER 2, 2019

Also known as “analytics,” BI looks at more expansive data relationships, perhaps even between multiple systems that collect data (such as CRM and GP), and identifies trends that can inform strategic business decisions and objectives that will improve overall performance across the entire operation. BI is macro.

Business Intelligence 69

Business Intelligence Reporting OLAP Data Warehouse 69

Jet Global

JUNE 5, 2019

Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. So how does a leading-edge business find a way to marry their wealth of data with the opportunity to utilize it effectively via BI software? Start future proofing your business today.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Jet Global

DECEMBER 1, 2020

Finance teams often work with business intelligence (BI) tools to analyze data, identify trends, pinpoint discrepancies, and build informative, compelling reports for management. In addition, it can be very helpful to have a metadata layer in place that can help non-developers make sense of the information in the database.

Finance 78

Finance Data Warehouse OLAP Reporting 78

Jet Global

APRIL 20, 2020

There was always a delay between the events being recorded in financial systems (for example, the purchase of a product or service) and the ability to put that information in context and draw useful conclusions from it (for example, a weekly sales report). Over the past few decades, however, technology has been closing that gap.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. You can get faster insights without spending valuable time managing your data warehouse. Fault tolerance is built in. Choose Create workgroup.

Analytics 107

Analytics Data Warehouse Dashboards Testing 107

AWS Big Data

APRIL 4, 2024

Amazon Redshift is a recommended service for online analytical processing (OLAP) workloads such as cloud data warehouses, data marts, and other analytical data stores. Redshift Serverless measures data warehouse capacity in Redshift Processing Units (RPUs).

Big Data 78

Big Data Data Warehouse Advertising OLAP 78

IBM Big Data Hub

SEPTEMBER 25, 2023

They set up a couple of clusters and began processing queries at a much faster speed than anything they had experienced with Apache Hive, a distributed data warehouse system, on their data lake. Uber chose Presto for the flexibility it provides with compute separated from data storage.

OLAP 86

OLAP Data Lake Data-driven Online Analytical Processing 86

FineReport

FEBRUARY 28, 2020

The central one is the data visualization technology at the display level. Despite the different order of magnitude and the need for an in-depth analysis, data visualization technology can fulfill the most basic BI goals-transforming data into information and assisting decision-making. Enterprise Reporting Strategy .

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

Octopai

JANUARY 8, 2020

That means that now most companies that do business with consumers in California have to protect those customers’ personal data. CCPA goes further than the European Union’s General Data Protection Regulation ( GDPR ) in what constitutes “personal data.” You can’t do this easily without automated data lineage tools.

Metadata 72

Metadata Key Performance Indicator OLAP Forecasting 72

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

BizAcuity

AUGUST 1, 2022

TIBCO Jaspersoft offers a complete BI suite that includes reporting, online analytical processing (OLAP), visual analytics , and data integration. The web-scale platform enables users to share interactive dashboards and data from a single page with individuals across the enterprise. Online Analytical Processing (OLAP).

Reporting 52

Reporting OLAP Online Analytical Processing Dashboards 52

Jet Global

OCTOBER 22, 2020

OLAP Cubes vs. Tabular Models. Let’s begin with an overview of how data analytics works for most business applications. This leads to the second option, which is a data warehouse. In this scenario, data are periodically queried from the source transactional system. The first is an OLAP model.

Modeling 52

Modeling OLAP Reporting Sales 52

IBM Big Data Hub

SEPTEMBER 27, 2023

The list of challenges is long: cloud attack surface sprawl, complex application environments, information overload from disparate tools, noise from false positives and low-risk events, just to name a few. You get near real-time visibility and insights from your ingested data.

Cost-Benefit 93

Cost-Benefit OLAP Dashboards Visualization 93

AWS Big Data

MARCH 7, 2023

Data lakes are more focused around storing and maintaining all the data in an organization in one place. And unlike data warehouses, which are primarily analytical stores, a data hub is a combination of all types of repositories—analytical, transactional, operational, reference, and data I/O services, along with governance processes.

Analytics 79

Analytics Data Warehouse Data Lake Metadata 79

Jet Global

JULY 29, 2020

In a recent survey of ERP user satisfaction, almost half of the approximately 1,500 respondents said they needed easier access to information , with 35 percent indicating that access to information takes too long. Data warehouse (and day-old data) – To use OBIEE, you may need to create a data warehouse.

Reporting 98

Reporting Cost-Benefit Consulting Finance 98

Jet Global

APRIL 30, 2019

This lowers cost by reducing the time and resources required to bring new data to use. It also supports incremental updates to keep this information current. With Jet Analytics, we provide an easy-to-setup pre-packaged set of data entities with our solution.

Finance 73

Finance OLAP Reporting Data Warehouse 73

In(tegrate) the Clouds

OCTOBER 7, 2016

Thanks to The OLAP Report for lots of great market materials. Comshare, Pilot, Metaphor, watch out here comes some more: OLAP, ROLAP, HOLAP, MOLAP now my head hurts. OLAP for the masses, gents? OLAP Services, TM1, Pablo, Wired, and Crystal fun. OLAP Services, TM1, Pablo, Wired, and Crystal fun.

Business Intelligence 40

Business Intelligence OLAP Marketing Scorecard 40

BizAcuity

APRIL 1, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. Data strategy and management roadmap: Effective management and utilization of information has become a critical success factor for organizations.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. Data strategy and management roadmap: Effective management and utilization of information has become a critical success factor for organizations.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

Jet Global

JANUARY 15, 2021

The lack of ability to get meaningful information out of ERP systems continues to be one of the top complaints of business executives across every industry. In many respects, it is more akin to some of the very complex data warehousing and OLAP tools of the past–perhaps with an even steeper learning curve.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

Jet Global

DECEMBER 3, 2021

The term “ business intelligence ” (BI) has been in common use for several decades now, referring initially to the OLAP systems that drew largely upon pre-processed information stored in data warehouses. Businesses today have access to more information about their customers than ever before.

Business Intelligence 52

Business Intelligence OLAP Sales Data Warehouse 52

erwin

AUGUST 15, 2022

I was pricing for a data warehousing project with just 4 TBs of data, small by today’s standards. I chose “ON Demand” for up to 64 virtual CPUs and 448 GB of memory since I wanted this data warehouse to fit entirely, or at least mostly, within memory. Figure 1: Pricing for a 4 TB data warehouse in AWS.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

Domino Data Lab

JULY 2, 2019

To build a SQL query, one must describe the data sources involved and the high-level operations (SELECT, JOIN, WHERE, etc.) Of course, if you use several different data management frameworks within your data science workflows—as just about everybody does these days—much of that RDBMS magic vanishes in a puff of smoke.

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

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

Jen Stirrup

OCTOBER 30, 2022

As a first step to customer insight, analytical tools can summarise and aggregate historical information about customers. One particular technology which is good for summarising and aggregating data is called OLAP (On Line Analytical Processing).

Data mining 52

Data mining Predictive Analytics Cost-Benefit OLAP 52

Smarten

JANUARY 4, 2018

Extract, Transform and Load (ETL) refers to a process of connecting to data sources, integrating data from various data sources, improving data quality, aggregating it and then storing it in staging data source or data marts or data warehouses for consumption of various business applications including BI, Analytics and Reporting.

Data Warehouse 40

Data Warehouse OLAP Data Governance Optimization 40

Jet Global

SEPTEMBER 22, 2023

Business intelligence is a key tool, empowering companies to get the most out of their data by providing tools to analyze information, streamline operations, track performance, and inform decision-making. Jet Analytics from insightsoftware helps bridge the gap between reporting and data visualization.

Visualization 52

Visualization Reporting Data Warehouse OLAP 52