Data Pine

OCTOBER 25, 2022

With ‘big data’ transcending one of the biggest business intelligence buzzwords of recent years to a living, breathing driver of sustainable success in a competitive digital age, it might be time to jump on the statistical bandwagon, so to speak. of all data is currently analyzed and used. click for book source**.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

Astera

JULY 13, 2023

The Role of Data Wrangling in Data Analytics Data analytics often produces a collection of informative reports, insightful visualizations, and illuminating graphs. These beautiful visualizations are the result of behind-the-scenes data wrangling.

Artificial Intelligence 40

Artificial Intelligence Data Analytics Data Analytics Data Mining 40

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. This design philosophy was adapted from our friends at Fishtown Analytics.).

Data Modelling 84

Data Modelling Big Data Data Analytics Data Analytics 84

Astera

SEPTEMBER 28, 2023

It’s one of many ways organizations integrate their data for business intelligence (BI) and various other needs, such as storage, data analytics, machine learning (ML) , etc. ETL provides organizations with a  single source of truth  (SSOT) necessary for accurate data analysis. What is Reverse ETL?

Data Warehouse 52

Data Warehouse Data Quality E-Commerce Real-time Data 52

Astera

SEPTEMBER 20, 2023

It ensures businesses can harness the full potential of their data assets effectively and efficiently. It empowers them to remain competitive and innovative in an increasingly data-centric landscape by streamlining data analytics, business intelligence (BI) , and, eventually, decision-making.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

SEPTEMBER 20, 2023

It ensures businesses can harness the full potential of their data assets effectively and efficiently. It empowers them to remain competitive and innovative in an increasingly data-centric landscape by streamlining data analytics, business intelligence (BI) , and, eventually, decision-making.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Actian

JULY 11, 2019

Efforts to standardize data models and interfaces have been largely unsuccessful due to the desire of some large players in the market to develop and defend closed technology ecosystems. Why operational technology data management may never be standardized. The biggest challenge to standardizing OT data management is managing change.

Data Management 40

Data Management Supply Chain Data Warehouse Artificial Intelligence 40

Insight Software

MAY 1, 2023

Positioning Embedded Analytics for Each Executive Here are some tips on understanding executives’ priorities and getting them on board with the project. Show how embedded analytics will enhance sales and marketing through better demos and shorter sales cycles. The application thus becomes a vital information hub.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52