CIO Business Intelligence

JANUARY 20, 2023

Increased competitive advantage: A sound BI strategy can help businesses monitor their changing market and anticipate customer needs. Business intelligence examples Reporting is a central facet of BI and the dashboard is perhaps the archetypical BI tool.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

CIO Business Intelligence

NOVEMBER 14, 2022

Digital marketing and services firm Clearlink uses a DSS system to help its managers pinpoint which agents need extra help. They generally leverage simple statistical and analytical tools, but Power notes that some OLAP systems that allow complex analysis of data may be classified as hybrid DSS systems. ERP dashboards.

Data mining 144

Data mining Data-driven Statistics OLAP 144

Jet Global

SEPTEMBER 4, 2020

Online analytical processing (OLAP), which enabled users to quickly and easily view data along different dimensions, was coming of age. The challenge with OLAP, however, is that it requires intensive processing power to aggregate data according to various categories or dimensions. Data warehouses have been in widespread use for years.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Jet Global

JUNE 5, 2019

Data drives everything in the business world, from manufacturing to supply chain logistics to retail sales to customer experience to post-sale marketing and beyond, data holds the secrets to making processes more efficient, production costs cheaper, profit margins higher and marketing campaigns more effective.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

FineReport

JUNE 24, 2021

Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. On the opposite, it is more of a comprehensive application of data warehouse, OLAP, data mining, and so forth. Therefore, from a technical perspective, business intelligence solution is not about new things. Data security.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

FineReport

AUGUST 14, 2020

For popular reporting tools on the market, you can refer to: Best Reporting Tools List in 2020 and How to Choose. The data analysis part is responsible for extracting data from the data warehouse, using the query, OLAP, data mining to analyze data, and forming the data conclusion with data visualization.

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

Octopai

AUGUST 30, 2020

In terms of system-to-system lineage or horizontal lineage , we’ve implemented enhancements that enable users to get the most expansive and complete lineage on the market today. Whether you’re connecting 5 objects or a few hundred objects, data teams can get the full story behind their data within seconds.

OLAP 84

OLAP Metadata Visualization Data Processing 84

Octopai

DECEMBER 22, 2019

The market demands easy and speedy management of data amid an increasingly complex data landscape. Expanded our support of Microsoft OLAP cube , an innovative open-source feat. What a flashback to see all that we’ve achieved this year in data governance, risk and compliance, data analysis and reporting.

Metadata 72

Metadata Management OLAP Data Governance 72

BizAcuity

AUGUST 1, 2022

TIBCO Jaspersoft offers a complete BI suite that includes reporting, online analytical processing (OLAP), visual analytics , and data integration. JasperSoft is available at a fraction of the cost compared to its commercial counterparts who dominate the market. Online Analytical Processing (OLAP). Source: [link] ].

Reporting 52

Reporting OLAP Online Analytical Processing Dashboards 52

Jet Global

OCTOBER 22, 2020

The size and scope of business databases have grown as ERP functionality has evolved, businesses have increased their adoption of CRM and marketing automation, and collaboration networks have become more common. OLAP Cubes vs. Tabular Models. The first is an OLAP model. The world of business analytics is evolving rapidly.

Modeling 52

Modeling OLAP Reporting Sales 52

Octopai

JANUARY 8, 2020

As a company’s data landscape grows and evolves, more computing “horsepower” is needed to perform the ETL and OLAP cube processing required to populate data warehouses and drive reports and dashboards. Are you able to pinpoint different geographies, business units, product lines, and market segments?

Metadata 72

Metadata Key Performance Indicator OLAP Forecasting 72

FineReport

JULY 16, 2021

Among these problems, one is that the third party on market data analysis platform or enterprises’ own platforms have been unable to meet the needs of business development. OLAP is a data analysis tool based on data warehouse environment. Data Analysis. You need the ability of data analysis to aid in enterprise modeling.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

Jet Global

DECEMBER 2, 2019

Therefore, the real magic happens when OLAP cubes are built or delivered from the data warehouse. OLAP cubes do all the work by dimensionalizing all combinations of slicing and dicing the data ahead of time. In other words, business intelligence isn’t a “nice to have”anymore, it’s emerging as a very necessary competitive survival tool.

Business Intelligence 69

Business Intelligence Reporting OLAP Data Warehouse 69

Jedox

DECEMBER 3, 2020

Assessing the market to select a suitable replacement that will fully support your organization’s transition to a modern xP&A strategy can be a daunting task. While well-known legacy planning solutions provided great planning tools once upon a time, several of them are near or have reached their end-of-life.

OLAP 57

OLAP Cost-Benefit Data-driven Finance 57

Sisense

APRIL 21, 2019

It’s used to dig up insights for business users, OLAP cubes, analytics apps, and ad-hoc analyses. What about your marketing efforts? A customer segmentation data model can help you understand the buying behaviors of your current customers and target groups and which marketing plays are having the desired effect.

OLAP 72

OLAP Modeling Manufacturing Marketing 72

IBM Big Data Hub

SEPTEMBER 27, 2023

Get a fast track to clarity: Single view with near real-time visibility and interactive dashboards QRadar Log Insights uses a modern open-source OLAP data warehouse, ClickHouse, which ingests, automatically indexes, searches and analyzes large datasets at sub-second speed.

Cost-Benefit 93

Cost-Benefit OLAP Dashboards Visualization 93

Sisense

AUGUST 11, 2019

BI lets you apply chosen metrics to potentially huge, unstructured datasets, and covers querying, data mining , online analytical processing ( OLAP ), and reporting as well as business performance monitoring, predictive and prescriptive analytics. But on the whole, BI is more concerned with the whats and the hows than the whys.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

Jet Global

DECEMBER 1, 2020

A non-developer can easily build a basic data warehouse including OLAP Cube or Tabular Model with Jet Analytics in as little as 30 minutes. Digital marketing automation, for example, has become very popular in the past few years, because it helps organizations leverage the power of online advertising, e-mail, and social media.

Finance 78

Finance Data Warehouse OLAP Reporting 78

Jet Global

APRIL 20, 2020

CRM software has gone through a similar transformation, starting with sales force automation, and more recently evolving into a new breed of products that support digital marketing campaigns through email, social media, and online advertising.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

Jet Global

APRIL 19, 2021

Business Intelligence (BI) and IT teams can pull customer, product, and market data from disparate systems, then clean and prepare it for analysis so executives can make more informed decisions. Though there is no shortage of ways automation can improve operations, these are the five most important benefits of data warehouse automation.

Data Warehouse 98

Data Warehouse Cost-Benefit OLAP Business Intelligence 98

FineReport

APRIL 20, 2020

Compared to reporting tools, they can realize data forecast thanks to OLAP analysis and data mining technologies. Next, let’s talk about the comparison between Crystal Report and FineReport since FineReport has occupied a large market share in the reporting tools area in recent years. Compare Crystal Reports and FineReport .

Reporting 84

Reporting OLAP Dashboards Data mining 84

AWS Big Data

APRIL 4, 2024

Aura from Unity (formerly known as ironSource) is the market standard for creating rich device experiences that engage and retain customers. Amazon Redshift is a recommended service for online analytical processing (OLAP) workloads such as cloud data warehouses, data marts, and other analytical data stores.

Big Data 78

Big Data Data Warehouse Advertising OLAP 78

Jet Global

MAY 28, 2019

To manage all the integrated data inside a data warehouse, many companies build cubes (OLAP or tabular) for quick reporting and analysis. The good news is, nowadays you can find business intelligence solutions with pre-built data warehouses to eliminate complexity, significantly reduce cost, and decrease risk.

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

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. This will ensure that you have the information you need to optimize your marketing spend. Spot Problems (and Opportunities) Early.

Business Intelligence 52

Business Intelligence OLAP Sales Data Warehouse 52

Jet Global

JANUARY 15, 2021

Why not take that opportunity to look around at the offerings from SAP, Sage, Epicor, Acumatica, or any of the other leading ERP vendors on the market? 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

Sisense

NOVEMBER 12, 2020

As the number of cloud data warehouse options on the market grows, niche players will rise and fall in every industry, with companies choosing this or that cloud option based on its ability to handle their data uniquely well. The primary differentiator is the data workload they serve.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

Jet Global

JULY 29, 2020

The enterprise software market is full of Oracle reporting tools , but not all of them offer the upgrade you’re looking for. Rely on all these sources to develop a detailed list of requirements for your next reporting tool. Step 2: Evaluate Your Discoverer Replacement Options. But does OBIEE stack up?

Reporting 98

Reporting Cost-Benefit Consulting Finance 98

AWS Big Data

MARCH 20, 2023

The two main approaches organizations employ to increase revenue are to expand geographically to enter new markets and to increase market share within a market by improving customer experience (CX). Improving CX is a well-known guideline to attract and retain customers and thereby increase the market share.

Analytics 52

Analytics Data Processing Slice and Dice Data Lake 52

Jen Stirrup

OCTOBER 30, 2022

This model can assist in decision making and in focusing marketing efforts. One particular technology which is good for summarising and aggregating data is called OLAP (On Line Analytical Processing). Historical and predictive analytics are not mutually exclusive, but instead work together to inform the marketing process.

Data mining 52

Data mining Predictive Analytics Cost-Benefit OLAP 52

Jet Global

MAY 1, 2023

Section 2: Embedded Analytics: No Longer a Want but a Need Section 3: How to be Successful with Embedded Analytics Section 4: Embedded Analytics: Build versus Buy Section 5: Evaluating an Embedded Analytics Solution Section 6: Go-to-Market Best Practices Section 7: The Future of Embedded Analytics Section 1: What are Embedded Analytics?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

AWS Big Data

MARCH 13, 2025

Amberdata, a blockchain and crypto market intelligence company, uses StarTree for real-time analytics to improve query performance, reduce SLA times, and lower infrastructure costs. Like Pinot, StarTree addresses the need for a low-latency, high-concurrency, real-time online analytical processing (OLAP) solution.

Management 92

Management Analytics OLAP Online Analytical Processing 92