datapine

NOVEMBER 27, 2019

Over the past decade, business intelligence has been revolutionized. 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. Source: Business Application Research Center *.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

OCTOBER 21, 2020

Analytics, already trending as one of the business intelligence buzzwords in 2019, has the potential to become part of a new strategy. Using this data, researchers can see things like how certain mutations and cancer proteins interact with different treatments and find trends that will lead to better patient outcomes.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

datapine

AUGUST 14, 2019

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning. Let’s get started. BI Tools And Applications.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

datapine

NOVEMBER 19, 2019

In business intelligence, we are evolving from static reports on what has already happened to proactive analytics with a live dashboard assisting businesses with more accurate reporting. An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data.

Technology 279

Technology Internet of Things IT IoT 279

CIO Business Intelligence

APRIL 15, 2022

CNN reported that Zillow bought 27,000 homes through Zillow Offers since its launch in April 2018 but sold only 17,000 through the end of September 2021. In March 2016, Microsoft learned that using Twitter interactions as training data for machine learning algorithms can have dismaying results.

Analytics 145

Analytics Machine Learning Insurance Testing 145

Smarten

JUNE 15, 2022

The reason they can do this is simple: the tools provided for this purpose are designed for human interaction. But, analytical tools often fail to provide that same support. Ask a question about a point in time without the need for specific dates: How many silk blouses were sold during Christmas season in 2016 vs. 2018?

Analytics 52

Analytics ROI Data-driven Sales 52

Smarten

AUGUST 23, 2022

How many donuts were sold in Scottsdale, Arizona during Thanksgiving 2019 and 2018? It is intuitive and ‘smart’ and goes far beyond ‘dumb’ NLP by offering tools that users will want to leverage and interacting with users in a way that is meaningful to them. They can simply ask the question.

Data-driven 76

Data-driven Sales Optimization Machine Learning 76