datapine

FEBRUARY 22, 2022

KPIs are measurable values that show how effectively a company is achieving its business objectives. KPIs indicate areas businesses are on the right track and where improvements are needed. When implementing a BI strategy, it is crucial to consider the company’s individual strategy and align KPIs to the company’s objectives.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

FineReport

APRIL 26, 2023

” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. To choose the right big data analytics tools, it is important to consider various factors specific to the business. It is based on a cluster system, allowing it to efficiently process data and run it parallelly.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

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. It is unstructured.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Ontotext

NOVEMBER 22, 2020

The goal is to make it easier to encode the business knowledge of personnel such as business analysts who have the best understanding of the business and the most well-rounded domain knowledge. Semantic Objects and the Semantic Objects Modeling Language (SOML) is a simple way to describe business objects or domain objects.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

Alation

FEBRUARY 10, 2022

Let’s discuss what data classification is, the processes for classifying data, data types, and the steps to follow for data classification: What is Data Classification? Either completed manually or using automation, the data classification process is based on the data’s context, content, and user discretion.

Data Governance 52

Data Governance Risk Insurance Strategy 52

Sisense

MAY 11, 2021

Data teams dealing with larger, faster-moving cloud datasets needed more robust tools to perform deeper analyses and set the stage for next-level applications like machine learning and natural language processing. Both of these concepts resonated with our team and our objectives, and so we found ourselves supporting both to some extent.

Modeling 84

Modeling Big Data IoT Data Warehouse 84