FineReport

APRIL 21, 2024

Dynamic Data Access with SaaS BI Tools SaaS BI solutions offer companies the ability to extract powerful insights from their data, enabling them to uncover trends, patterns, and correlations that are essential for strategic decision-making.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

Cloudera

AUGUST 3, 2021

Consider that e-commerce’s acceleration due to the pandemic saw retailers’ digital sales penetration realize 10 years of growth in just the first three months of 2020 alone. . In summary, predicting future supply chain demands using last year’s data, just doesn’t work.

Analytics 108

Analytics Digital Transformation Risk Forecasting 108

datapine

FEBRUARY 25, 2022

From automated reporting, predictive analytics, and interactive data visualizations, reporting on data has never been easier. Now, if you are just getting started with data analysis and business intelligence it is important that you are informed about the most efficient ways to manage your data.

Reporting 173

Reporting Dashboards Visualization Interactive 173

Sisense

OCTOBER 6, 2020

Let’s consider the differences between the two, and why they’re both important to the success of data-driven organizations. Digging into quantitative data. 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

Cloudera

SEPTEMBER 12, 2018

Toshiba Memory’s ability to apply machine learning on petabytes of sensor and apparatus data enabled detection of small defects and inspection of all products instead of a sampling inspection. Voya Financial prevented millions of dollars of fraudulent transactions by deploying predictive analytic capabilities on Cloudera.

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

Grooper

AUGUST 19, 2019

Choosing the best analytics and BI platform for solving business problems requires non-technical workers to “speak data.”. A baseline understanding of data enables the proper communication required to “be on the same page” with data scientists and engineers. These requirements include fluency in: Analytical models.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Andrew White

JANUARY 11, 2021

In our modern data and analytics strategy and operating model, a PM methodology plays a key enabling role in delivering solutions. Do you draw a distinction between a data-driven vision and a data-enabled vision, and if so, what is that distinction? where performance and data quality is imperative?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52