datapine

JUNE 5, 2019

Enter data dashboards – one of history’s best innovations in business intelligence. To help you understand this notion in full, we’re going to explore a data dashboard definition, explain the power of dashboard data, and explore a selection of data dashboard examples.

Dashboards 316

Dashboards KPI Sales Visualization 316

datapine

AUGUST 14, 2019

Exclusive Bonus Content: Download Our Free Data & Science Checklist! Geet our bite-sized free summary and start building your data skills! In the past, data scientists had to rely on powerful computers to manage large volumes of data. Geet our bite-sized free summary and start building your data skills!

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 77

Data Science Data Analytics Prescriptive Analytics Analytics 77

Smarten

JUNE 10, 2022

Obviously, when it comes to your competitive market space, your business does not want to exist in that 68% of the pie chart! Your senior execs and managers want to leverage data and information to gain a competitive advantage and succeed. Business Intelligence. Dashboards. Key Performance Indicators (KPIs).

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

Jedox

OCTOBER 22, 2020

In addition to using data to inform your future decisions, you can also use current data to make immediate decisions. Some of the technologies that make modern data analytics so much more powerful than they used t be include data management, data mining, predictive analytics, machine learning and artificial intelligence.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

FineReport

APRIL 26, 2023

Descriptive Analytics is used to determine “what happened and why.” ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. Unlike traditional databases, processing large data volumes can be quite challenging. Offers interactive and shared dashboards.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52