Sisense

SEPTEMBER 12, 2019

We’ve even gone as far as saying that every company is a data company , whether they know it or not. And every business – regardless of the industry, product, or service – should have a data analytics tool driving their business. Every company has been generating data for a while now.

Government 81

Government Documentation Business Intelligence Business Intelligence 81

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. Building the right data model is an important part of your data strategy.

Data Modelling 84

Data Modelling Big Data Data Analytics Data Analytics 84

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. Or is Business Intelligence One Part of Business Analytics?

Business Intelligence 75

Business Intelligence Business Intelligence Data Mining Predictive Analytics 75

Data Pine

MARCH 31, 2022

A data scientist has a similar role as the BI analyst, however, they do different things. While analysts focus on historical data to understand current business performance, scientists focus more on data modeling and prescriptive analysis. They can help a company forecast demand, or anticipate fraud.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

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. Actian provides multi-cloud and on-premise analytics with a robust distributed query capability that lets you put the compute wherever the data lies.

Data Mining 8

Data Mining Digital Transformation Digital Data Modelling 8

Marutitech

DECEMBER 17, 2021

You must be wondering what the different predictive models are? What is predictive data modeling? Which predictive analytics algorithms are most helpful for them? This blog will help you answer these questions and understand the predictive analytics models and algorithms in detail.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

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

Data Pine

MARCH 25, 2022

Well, what if you do care about the difference between business intelligence and data analytics? The most straightforward and useful difference between business intelligence and data analytics boils down to two factors: What direction in time are we facing; the past or the future? How Does This Work In Business?

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Procurement 105

Insight Software

MAY 1, 2023

All of the above points to embedded analytics being not just the trendy route but the essential one. 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.” Standalone is a thing of the past. These support multi-tenancy.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52