Datapine Blog

NOVEMBER 27, 2019

The consequences of bad data quality are numerous; from the accuracy of understanding your customers to constructing the right business decisions. That’s why it is of utmost importance to start with utilizing the right key performance indicators – there are numerous KPI examples that can make or break the quality process of data management.

Business Intelligence 144

Business Intelligence Intelligence Intelligence Business 144

Elegant BI

AUGUST 2, 2015

Business reporting needs are ever-changing and never-ending, and the need for ad hoc data mining and visualization is crucial. Executives need to monitor summary results and key performance indicators (KPIs), while sales managers may need information on weekly sales, targets, and receivables.

Data Mining 52

Data Mining Business Intelligence Intelligence Intelligence 52

Datapine Blog

MAY 29, 2019

Data cleansing, metadata management, data distribution, storage management, recovery, and backup planning are processes conducted in a data warehouse while BI makes use of tools that focus on statistics, visualization, and data mining. But let’s see this through our next major aspect. c) What is the audience?

Business Intelligence 78

Business Intelligence Intelligence Intelligence Business 78

Elegant BI

JUNE 29, 2016

ElegantJ BI helped a leading publicly listed Pharmaceutical business in India consolidate data and support business intelligence integration and analysis across all of its locations, with accurate, timely reporting, across all functional areas.

Pharmaceutical 40

Pharmaceutical Data Mining Business Intelligence Analysis 40

Datapine Blog

OCTOBER 10, 2019

If you don’t have the ability (or desire) to ask your end-user what KPIs are valuable to them, our KPI examples and templates will give you a pretty good idea of what metrics you can use. e) How are they currently viewing these KPIs? However, even though we love data, we can’t (and shouldn’t) display all of these types.

Retail 58

Retail KPI Sales Data Mining 58

Datapine Blog

MARCH 25, 2022

Predictive analytics : This method uses advanced statistical techniques coming from data mining and machine learning technologies to analyze current and historical data and generate accurate predictions. That is the difference between business intelligence & analytics, and that’s why both of them are crucial.

Business Intelligence 105

Business Intelligence Intelligence Intelligence Business 105

Datapine Blog

MARCH 31, 2022

Founded in the ’70s, this software offers a range of products and applications that allow for statistical analysis, predictive analytics, data mining, text mining, and forecasting. Your Chance: Want to start your business intelligence journey today? SAS BI: SAS can be considered the “mother” of all BI tools.

Business Intelligence 95

Business Intelligence Intelligence Intelligence Business 95

Elegant BI

MAY 12, 2015

You can use data mining to suggest ways to improve results. You don’t have to be a programmer or statistical analyst to use these self-serve tools. You can accurately forecast and anticipate results and help your clients see how to balance business growth, expenses and financial investments.

Data Mining 40

Data Mining Business Intelligence Capital Analysis 40

Zoominfo

APRIL 23, 2020

What Is Data Quality, and Why Is It Important For Sales and Marketing? You may think that a motivated sales team can easily conduct manual data mining by searching job titles and company info via Google or LinkedIn. Bad data is a slippery slope to multiple points of failure: ROI numbers become skewed.

Sales 189

Sales Intelligence Intelligence Profiling 189

CXL

NOVEMBER 15, 2022

Turning raw data into eye-catching visuals requires the help of data visualization tools. Software will read datasets and plot charts for you, so you’re not left relying on manual data mining to populate visuals.

Marketing 84

Marketing Marketing Data Mining KPI 84