FineReport

JUNE 19, 2023

Operational reports have the potential to greatly enhance business performance through the utilization of data-driven insights. These reports offer a structured and comprehensible representation of data, enabling a clearer understanding of complex issues that might otherwise remain elusive. It compares current assets (e.g.,

Operational Reporting 52

Operational Reporting Reporting Key Performance Indicator Dashboards 52

DataKitchen

JANUARY 3, 2022

Data scientists derive insights from data while business analysts work closely with and tend to the data needs of business units. Business analysts sometimes perform data science, but usually, they integrate and visualize data and create reports and dashboards from data supplied by other groups.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

Cloudera

FEBRUARY 15, 2024

From stringent data protection measures to complex risk management protocols, institutions must not only adapt to regulatory shifts but also proactively anticipate emerging requirements, as well as predict negative outcomes.

Insurance 86

Insurance Data Architecture Risk Management Risk 86

Rocket-Powered Data Science

SEPTEMBER 18, 2018

In “big data language”, we are talking about one of the 3 V’s of big data: big data Variety! High variety data enables the discovery of multiple clusters, and eventually identifies the correct cluster (correct diagnosis, in this case). The proof of my inference about the airplane was in the data!

Big Data 103

Big Data Data Science Measurement Data Collection 103

Sisense

OCTOBER 6, 2020

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

BI-Survey

FEBRUARY 17, 2020

With the growing interconnectedness of people, companies and devices, we are now accumulating increasing amounts of data from a growing variety of channels. New data (or combinations of data) enable innovative use cases and assist in optimizing internal processes. This way of working helps generate business demand.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

Jet Global

MARCH 22, 2023

Market Drivers and Current Trends Organizations are increasing focus on the potential value within big data, seeking to better understand their customers and improve their products. The challenge is collecting all that data into one place and making it understandable.

Analytics 52

Analytics Cost-Benefit Dashboards Visualization 52

IBM Big Data Hub

OCTOBER 20, 2023

Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio. The best AI platforms typically have various measures in place to ensure that your data, application endpoints and identity are protected.

Machine Learning 80

Machine Learning Manufacturing Cost-Benefit Deep Learning 80

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? measuring value, prioritizing (where to start), and data literacy? Great idea. I will suggest this.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Sisense

DECEMBER 11, 2019

Driving startup growth with the power of data. The challenge is to do it right, and a crucial way to achieve it is with decisions based on data and analysis that drive measurable business results. He concluded that data teams can influence the transformation of startups into unicorns. It’s the aspiration of every startup.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Smart Data Collective

OCTOBER 25, 2023

Well, it is – to the ones that are 100% familiar with it – and it involves the use of various data sources, including internal data from company databases, as well as external data, to generate insights, identify trends, and support strategic planning. In the 1990s, OLAP tools allowed multidimensional data analysis.

Key Performance Indicator 96

Key Performance Indicator Business Intelligence Data-driven Metrics 96