The BAWorld

NOVEMBER 22, 2021

Data Modeling. Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations. Conceptual Data Model. Logical Data Model : It is an abstraction of CDM. Data Profiling.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

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 Intelligence Data Mining Predictive Analytics 75

Marutitech

JANUARY 21, 2022

Companies worldwide follow various approaches to deal with the process of data mining. . This method is generally known as the CRISP-DM, abbreviated as Cross-Industry Standard Process for Data Mining. . Data Understanding. Apart from reducing the data set, train your model to differentiate and classify your data.

Project Management 113

Project Management Data Mining Data Analytics Data Analytics 113

Actian

JULY 29, 2019

You also need your data aggregated and optimized for analytics to generate both real-time insights and perform deep data-mining activities. They each have their own underlying data structure and processing capabilities that have been carefully crafted to provide optimum performance for the business processes that rely on them.

Data Mining 8

Data Mining Digital Transformation Digital Data Modelling 8

Astera

DECEMBER 22, 2022

It’s one of the three core data types, along with structured and semi-structured formats. Examples of unstructured data include call logs, chat transcripts, contracts, and sensor data, as these datasets are not arranged according to a preset data model. This makes managing unstructured data difficult.

Data Quality 52

Data Quality Data Mining Data Warehouse Data Governance 52

Sisense

MARCH 14, 2021

As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data. For starters, the rise of the Internet of Things (IoT) has created immense volumes of new data to be analyzed.

Big Data 52

Big Data Data Analytics Data Analytics Supply Chain 52

Data Pine

MARCH 31, 2022

To simplify things, you can think of back-end BI skills as more technical in nature and related to building BI platforms, like online data visualization tools. Front-end analytical and business intelligence skills are geared more towards presenting and communicating data to others.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Data Pine

DECEMBER 28, 2021

The above graph/chart was presented as a point of emphasis. Misuse of statistics is present everywhere and news outlets are not the exception. A good rule of thumb is to always take polling with a grain of salt and to try to review the questions that were actually presented. 3) Data fishing. 2) Flawed correlations.

Digital 145

Digital Data Visualization Healthcare Data Mining 145

Insight Software

MAY 1, 2023

Users Want to Help Themselves Data mining is no longer confined to the research department. Today, every professional has the power to be a “data expert.” Discuss, don’t present. Present your business case. To support your case, present findings from the State of Embedded Analytics study.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52