datapine

MAY 28, 2019

What kind of database you’re currently working with and do you need various data connectors to unite all your flat files, databases, marketing analytics, social media, etc. Maximum security and data privacy. The final BI project template looked similar to this visual: **click to enlarge**.

Business Intelligence 317

Business Intelligence KPI Dashboards Reporting 317

datapine

AUGUST 14, 2019

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

datapine

FEBRUARY 17, 2023

That said, data and analytics are only valuable if you know how to use them to your advantage. Poor-quality data or the mishandling of data can leave businesses at risk of monumental failure. In fact, poor data quality management currently costs businesses a combined total of $9.7 million per year.

Analytics 191

Analytics Cost-Benefit Dashboards Business Intelligence 191

Ontotext

JANUARY 6, 2022

Spotting Data Consistency Issues. We integrated only a bit of Transparency data, but have already found various data quality issues. This is possible because by semantically interlinking different types of data coming from different sources, we can look at the bigger picture and can easily see problems in the data.

Marketing 52

Marketing Data Quality Dashboards Visualization 52

datapine

DECEMBER 4, 2019

As they expand, enterprises, organizations, and businesses of all sizes need a proper data framework to prepare and connect all the information they collect and, ultimately, extract value from it. Graph Analytics. Final on our list of business buzzwords for 2020 is the graph analytics.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Andrew White

JANUARY 11, 2021

As such any Data and Analytics strategy needs to incorporate data sovereignty as per of its D&A governance program. Coding skills – SQL, Python or application familiarity – ETL & visualization? where performance and data quality is imperative? Thanks for the overview Andrew.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52