Smart Data Collective

OCTOBER 25, 2023

In the 1990s, OLAP tools allowed multidimensional data analysis. Challenges and Solutions: Roadblocks in BI-Social Media Synthesis The fusion of BI and social media data presents significant challenges, including data volume, consistency, and compliance. Let’s break it down for you. The story goes back to the mid-20th century.

Key Performance Indicator 94

Key Performance Indicator Business Intelligence Data-driven Metrics 94

CIO Business Intelligence

JANUARY 20, 2023

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business.

Business Intelligence 136

Business Intelligence Dashboards Data mining OLAP 136

Jet Global

JUNE 5, 2019

Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. Store and manage: Next, businesses store and manage the data in a multidimensional database system, such as OLAP or tabular cubes.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Jet Global

APRIL 2, 2019

But the vast reams of data generated daily are presenting a new problem for businesses—what data matters? The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes.

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

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 96

Cost-Benefit OLAP Dashboards Visualization 96

Jet Global

DECEMBER 1, 2020

Finally, you will likely spend a great deal of time formatting and manipulating all of that data so that it is presented in a way that makes sense to the people reading it. 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. Holistic Reporting.

Finance 78

Finance Data Warehouse OLAP Reporting 78

FineReport

FEBRUARY 28, 2020

According to the process from data to knowledge, the functional architecture of a general enterprise reporting system is shown below:It is divided into three functional levels: the underlying data, data analysis, and data presentation. In the end, display data insights such as reports and visual charts through data presentation.

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

Jet Global

APRIL 20, 2020

Again, the new CRM paradigm has presented an opportunity for those who were early to identify it and to fully understand the ramifications. This practice, together with powerful OLAP (online analytical processing) tools, grew into a body of practice that we call “business intelligence.” Making Sense of Disparate Systems.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

Sisense

FEBRUARY 16, 2021

A data model presents a “single source of truth” that all analytics queries are based on, from internal reports and insights embedded into applications to the data underlying AI algorithms and much more. Data warehouses provide a consolidated, multidimensional view of data along with online analytical processing ( OLAP ) tools.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

FineReport

JULY 16, 2021

In general, business intelligence (BI) system consists of three main parts: complete collection of data, reasonable arrangement and presentation of data, and delivery of data to those who need it in a convenient and efficient manner. OLAP is a data analysis tool based on data warehouse environment. Data Analysis.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

FineReport

DECEMBER 22, 2019

They can automatically generate monthly reports, quarterly reports, and annual reports, as well as dynamically present real-time data. Finally, Excel spreadsheets are presented in very few ways. The ‘data’ part is like the reporting software, which is statistics and presentation of data. .

Reporting 90

Reporting Dashboards Software OLAP 90

Jet Global

AUGUST 14, 2019

But the vast reams of data generated on a daily basis are presenting a new problem for businesses—what data matters? The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

AWS Big Data

JUNE 21, 2023

Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. We begin with a single-table design as an initial state and build a scalable batch extract, load, and transform (ELT) pipeline to restructure the data into a dimensional model for OLAP workloads.

Data Warehouse 82

Data Warehouse Data Lake OLAP Cost-Benefit 82

Ontotext

JUNE 10, 2021

To handle such scenarios you need a transalytical graph database – a database engine that can deal with both frequent updates (OLTP workload) as well as with graph analytics (OLAP). Not Every Graph is a Knowledge Graph: Schemas and Semantic Metadata Matter.

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

Jet Global

APRIL 30, 2019

If you have to rebuild an entity to reload it for accurate data, it can take from 20 minutes to an hour – presenting a massive issue of timeliness. You also get a pre-built data warehouse and cubes (tabular or OLAP) that uses these data entities to de-normalize the tables and keep all your governed data in one place.

Finance 73

Finance OLAP Reporting Data Warehouse 73

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

Sisense

NOVEMBER 12, 2020

The traditional data warehouses solved the problem of processing and synthesizing large data volumes, but they presented new challenges for the analytics process. The primary differentiator is the data workload they serve. Cloud data warehouses.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

Jet Global

OCTOBER 2, 2019

But the vast reams of data generated on a daily basis are presenting a new problem for businesses—what data matters? The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Jet Global

JANUARY 15, 2021

The company has offered up “bring your own database” (BYOD) as a workaround and has presented data entities as a long-term approach to data access for reporting. 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

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

AWS Big Data

OCTOBER 18, 2023

For Connection name , enter a name (for example, olap-azure-synapse ). The solution we presented performs a one-time migration of database objects and data. Provide a meaningful but memorable name for your project (for example, Azure Synapse to Amazon Redshift). To connect to the Azure Synapse source data warehouse, choose Add source.

Analytics 98

Analytics Data Warehouse Testing Dashboards 98

AWS Big Data

MARCH 20, 2023

IP translation – The IP addresses present in events will be translated to city, state, and zip, and enriched with other information to implement near-real-time, location-aware services encompassing security-related functions as well as personalization functions. Operational dashboards are hosted on Grafana integrated with Druid.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

Jet Global

MAY 1, 2023

Discuss, don’t present. Present your business case. To support your case, present findings from the State of Embedded Analytics study. Information Delivery The main reason software providers take on an embedded analytics project is to improve how data is presented. It is now most definitely a need-to-have.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52