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

OCTOBER 26, 2021

Multi-dimensional analysis is sometimes referred to as “OLAP”, which stands for “online analytical processing.” Technically speaking, OLAP refers to methodologies for producing multidimensional analysis on high-volume data sets.). That may prompt further investigation and could reveal insights as to the appropriate corrective action.

Reporting 98

Reporting Slice and Dice OLAP Analytics 98

CIO Business Intelligence

NOVEMBER 14, 2022

The concept of DSS grew out of research conducted at the Carnegie Institute of Technology in the 1950s and 1960s, but really took root in the enterprise in the 1980s in the form of executive information systems (EIS), group decision support systems (GDSS), and organizational decision support systems (ODSS). Document-driven DSS.

Data mining 144

Data mining Data-driven Statistics OLAP 144

Jedox

JULY 1, 2020

The sophisticated technology behind modern EPM solutions is still a mystery to many. In this blog post, we’ll look at the definition of OLAP as well as an overview of the technology. Most modern EPM solutions rely on multidimensional OLAP, also called MOLAP. What’s so special about OLAP technology?

OLAP 92

OLAP Slice and Dice Sales Visualization 92

Cloudera

DECEMBER 1, 2020

In this scenario, the operational database is used for a dedicated primary use case in your technology stack. For example, a utility company using the operational database for OLTP use cases can use Cloudera’s operational database to store smart meter data and later use the data for OLAP use cases.

OLAP 58

OLAP Metadata Finance Technology 58

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. Maximal, Gentia, and Next Action Technologies. IT couldn’t find them.

Business Intelligence 40

Business Intelligence OLAP Marketing Scorecard 40

Jedox

DECEMBER 3, 2020

Legacy solution users will also want to look for familiar features: an in-memory OLAP database, an easy to model multi-cube architecture and cell-based spreadsheet style reporting. How will you secure a lower total cost of ownership? Cost, of course, is always an important consideration.

OLAP 56

OLAP Cost-Benefit Data-driven Finance 56

Jet Global

APRIL 20, 2020

Finance leaders that were quick to recognize the new paradigm got a head start, using the new technology to make their organizations more efficient and profitable. Over the past few decades, however, technology has been closing that gap. Today’s technology takes this evolution a step further.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

Jet Global

AUGUST 14, 2019

While the technology behind enabling computers to simulate human thought has been developing, at times slowly, over the past half-century, the cost of implementation, readily available access to cloud computing, and practical business use cases are primed to help AI make a dramatic impact in the enterprise over the next few years.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

FineReport

MAY 29, 2020

If you have advanced requirements for OLAP analysis or prediction, the BI suite is a better choice. . In conclusion, if you only need to do data display, reporting, and basic data analysis, a bi reporting tool is enough to satisfy your demands. How does BI Reporting Work? Using FineReport to Implement BI Reporting.

Reporting 94

Reporting OLAP Software Visualization 94

Sisense

AUGUST 11, 2019

BA and BI are broad terms covering all kinds of technologies and approaches – and, to add to the confusion, are often used interchangeably. Industry insiders like SAP’s Timo Elliott point out that the waters have been thoroughly muddied by two things: fast-changing technologies and marketing spiel. Is there a difference at all?

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

Jet Global

MARCH 5, 2019

With all the attention being paid to artificial intelligence (AI) these days, it’s no surprise that enterprise leaders are scrambling to find ways to shoehorn AI implementations into their technology stack. What are some of the core components of business intelligence?

Business Intelligence 75

Business Intelligence OLAP Visualization Reporting 75

Sisense

NOVEMBER 12, 2020

While the organization of these layers has been refined over the years, the interoperability of the technologies, the myriad software, and orchestration of the systems make the management of these systems a challenge. A data-driven future powered by cloud data warehouse technologies. Cloud data warehouses.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

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.

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

Jet Global

OCTOBER 2, 2019

While the technology behind enabling computers to simulate human thought has been developing, at times slowly, over the past half-century, the cost of implementation, readily available access to cloud computing, and practical business use cases are primed to help AI make a dramatic impact in the enterprise over the next few years.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

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. As technology has evolved, BI has grown steadily more powerful, affordable, and accessible.

Business Intelligence 52

Business Intelligence Sales OLAP Data Warehouse 52

erwin

AUGUST 15, 2022

DB Technology. The first and most important thing to recognize and understand is the new and radically different target environment that you are most likely designing a data model when choosing a NoSQL database, namely a data lake or data lakehouse. Business Focus. Operational. Operational Tactical. Tactical Strategic. Analytical. Relational.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

AWS Big Data

MARCH 7, 2023

ETL (extract, transform, and load) technologies, streaming services, APIs, and data exchange interfaces are the core components of this pillar. In terms of implementation, the same technologies may be used for both inbound and outbound, but the functions are different. However, it’s not mandatory to use the same technologies.

Analytics 70

Analytics Data Warehouse Data Lake Metadata 70

erwin

JUNE 7, 2022

DB Technology. The first and most important thing to recognize and understand is the new and radically different target environment that you are now designing a data model for. Business Focus. Operational. Operational Tactical. Tactical Strategic. Analytical. Machine Learning. End User Tools. Client Server Web. Client Server. Client Server.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

FineReport

JUNE 24, 2021

However, along with the diffusion of digital technology, the amount of data is getting larger and larger, and data collection and cleaning work have become more and more time-consuming. Business intelligence solutions are a whole combination of technology and strategy, used to handle the existing data of the enterprises effectively.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

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

Jet Global

OCTOBER 22, 2020

OLAP Cubes vs. Tabular Models. The first is an OLAP model. To perform multidimensional analysis on large data sets, OLAP data were organized into “cubes.” Part of the performance improvement arises from the development of in-memory database technology. Fortunately, there is a way to have the best of both worlds.

Modeling 52

Modeling OLAP Reporting Sales 52

Sisense

SEPTEMBER 3, 2019

OLTP vs OLAP. First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing). An OLAP database is best for situations where you read from the database more often than you write to it. OLAP databases excel at queries that require large table scans (e.g.

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

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.

Business Intelligence 69

Business Intelligence Reporting OLAP Data Warehouse 69

FineReport

JANUARY 6, 2020

The former is more professional in report making, presentation, and printing, while the latter can make OLAP and predict analysis thanks to the BI capabilities. As reporting software, it does not support OLAP. Pros: Apply AI, ML, and NLP technologies for the augmented analytics. FineReport. Crystal Reports.

Reporting 97

Reporting Slice and Dice OLAP Cost-Benefit 97

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. Rapid changes in technology and the ever-changing competitive landscape are increasing the pressure on organizations to make swifter and more informed decisions.

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. Rapid changes in technology and the ever-changing competitive landscape are increasing the pressure on organizations to make swifter and more informed decisions.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

Data Virtualization

OCTOBER 28, 2020

Organizations today need a data architecture that can overcome a double challenge: satisfy new business needs that require more agility and self-service capabilities, while at the same time dealing with a growing, diverse, and fast-moving data ecosystem (new data sources,

Data Architecture 59

Data Architecture OLAP Data Warehouse Technology 59

AWS Big Data

SEPTEMBER 22, 2023

Amazon Redshift has added many features to enhance analytical processing like ROLLUP, CUBE and GROUPING SETS , which were demonstrated in the post Simplify Online Analytical Processing (OLAP) queries in Amazon Redshift using new SQL constructs such as ROLLUP, CUBE, and GROUPING SETS.

Data Warehouse 101

Data Warehouse OLAP Risk Online Analytical Processing 101

Sisense

FEBRUARY 16, 2021

Data warehouses provide a consolidated, multidimensional view of data along with online analytical processing ( OLAP ) tools. OLAP tools help in the interactive and effective processing of data in a multidimensional space. Scott Castle is the VP & GM for Cloud Data Teams at Sisense.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

FineReport

JULY 16, 2021

Business intelligence system is a set of complete solutions using technologies, processes and applications. OLAP is a data analysis tool based on data warehouse environment. Therefore, BI system arises at the historic moment and plays an increasingly prominent role today. BI INTELLIGENCE (from google). What is BI System? Data Analysis.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

FineReport

APRIL 20, 2020

Compared to reporting tools, they can realize data forecast thanks to OLAP analysis and data mining technologies. One is professional reporting tools such as FineReport and Jasper Report, which are strong in the richness of report styles, the diversity of charts, and print function. Another is BI software such as Tableau and PowerBI.

Reporting 84

Reporting OLAP Dashboards Data mining 84

Jet Global

APRIL 19, 2021

Whether a business is building a new data warehouse and set of OLAP cubes or revamping an existing one, the project requires developers to write a massive amount of SQL code. Though there is no shortage of ways automation can improve operations, these are the five most important benefits of data warehouse automation. Reclaim Developer Hours.

Data Warehouse 98

Data Warehouse Cost-Benefit OLAP Business Intelligence 98

Jet Global

FEBRUARY 8, 2021

Power BI can consume Jet Reports output or the Tabular Models or OLAP cubes from Jet Analytics to provide an easy way for developers to create dashboards and analytics, which insulates them from any changes to the underlying BC database.

Reporting 98

Reporting Dashboards Cost-Benefit OLAP 98

Jen Stirrup

OCTOBER 30, 2022

There are lots of definitions out there, but I like the Gartner one best: “ A broad category of applications and technologies for gathering, storing, analysing, sharing and providing access to data to help enterprise users make better business decisions.” This model can assist in decision making and in focusing marketing efforts.

Data mining 52

Data mining Predictive Analytics Cost-Benefit OLAP 52

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. We explore why Aura chose this solution and what technological challenges it helped solve.

Big Data 65

Big Data Data Warehouse Advertising OLAP 65

Smart Data Collective

OCTOBER 25, 2023

More companies are turning to data analytics technology to improve efficiency, meet new milestones and gain a competitive edge in an increasingly globalized economy. The market for business intelligence technology is projected to exceed $35 billion by 2028. In the 1990s, OLAP tools allowed multidimensional data analysis.

Key Performance Indicator 96

Key Performance Indicator Business Intelligence Data-driven Metrics 96