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

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. Visualize your data.

Key Performance Indicator 217

Key Performance Indicator Statistics Visualization Big Data 217

datapine

MARCH 31, 2022

According to the US Bureau of Labor Statistics, demand for qualified business intelligence analysts and managers is expected to soar to 14% by 2026, with the overall need for data professionals to climb to 28% by the same year. Visualizations are the best tools to make trends and general insights understandable.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

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

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Machine Learning 55

Machine Learning Data Science Statistics Deep Learning 55

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 2) Data Discovery/Visualization. We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

MAY 29, 2019

BI architecture has emerged to meet those requirements, with data warehousing as the backbone of these processes. One of the BI architecture components is data warehousing. Business intelligence and data warehousing have different goals. The output data of both terms also vary. click to enlarge**. b) What is the output?

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196