datapine

JANUARY 24, 2021

If you want to survive, it’s time to act.” – Capgemini and EMC² in their study Big & Fast Data: The Rise of Insight-Driven Business. Agree companywide what KPIs are most relevant for your business and how do they already develop. Research different KPI examples and compare to your own. Can you influence this development?

IT 317

IT Statistics KPI Data-driven 317

Occam's Razor

AUGUST 22, 2011

" ~ Web Metrics: "What is a KPI? Convert Data Skeptics: Document, Educate & Pick Your Poison. Data Mining And Predictive Analytics On Web Data Works? Web Analytics Data Sampling 411. Podcast: Google, Evangelism, Data Privacy, Analytics, Yahoo! & How do I choose well? How to focus?"

KPI 124

KPI Metrics Measurement ROI 124

datapine

MARCH 25, 2022

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. But let’s see in more detail what experts say and how can we connect and differentiate the both.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

datapine

MARCH 25, 2019

What Is A Data Analysis Method? Data analysis method focuses on strategic approaches to taking raw data, mining for insights that are relevant to the business’s primary goals, and drilling down into this information to transform metrics, facts, and figures into initiatives that benefit improvement. Harvest your data.

Key Performance Indicator 217

Key Performance Indicator Statistics Visualization Big Data 217

datapine

MAY 29, 2019

BI architecture has emerged to meet those requirements, with data warehousing as the backbone of these processes. But first, let’s start with basic definitions. The output difference is closely interlaced with the people that can work with either BI or data warehouse. Exclusive Bonus Content: Wondering about BI & DWH?

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

datapine

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 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361