Alpha Sense BI

DECEMBER 13, 2022

In the age of data, business intelligence is about more than just having the right information — it’s about uncovering and analyzing the exact crucial insights you need to help inform business decisions, stay ahead of market-moving trends, and keep an edge on the competition. That’s where market analysis tools come in.

Analysis 97

Analysis Marketing Marketing Primary Research 97

Zoominfo

APRIL 23, 2020

Read on to see how data has evolved to drive specific business functions and drive revenue in four main areas. Role of Sales Intelligence In: Data Quality and Management Creating an Ideal Customer Profile Lead Generation The Technology Stack & Intent Data. Data Quality and Management. This information is gold.

Sales 189

Sales Intelligence Intelligence Profiling 189

ArchIntel

DECEMBER 1, 2021

Executive Profile: Suzanne D’Angelo, Marketing Director at Verint. Her LinkedIn profile describes her as a marketing professional with a proven track record in managing complex programs such as corporate customer conferences and corporate sales kickoffs. Bob Laurent Senior Director Domino Data Lab.

Globalization 104

Globalization Marketing Marketing Profiling 104

Elegant BI

MAY 22, 2017

One of the most important elements of advanced data discovery and advanced analytics tools is plug n’ play predictive analysis and forecasting tools. These tools can support the enterprise initiative to implement self-serve advanced analytics and transform business users into Citizen Data Scientists.

Analysis 52

Analysis Predictive Analytics Data Mining Algorithm 52

Zoominfo

MAY 14, 2020

It is composed of statistics, data mining, algorithms, and machine learning to identify trends and behavior patterns. Predictive intelligence allows this type of analysis and to happen instantly, in a way that human analysis can’t compete with. One of the benefits of a large volume of information? Predictive intelligence.

Intelligence 113

Intelligence Intelligence Profiling Predictive Analytics 113

Datapine Blog

OCTOBER 25, 2022

Understanding where and how to leverage huge amounts of information, how to integrate analytics processes into everyday operations, and how the use of data no longer needs to be a technical task for the IT department only, among other useful knowledge. 3) “The Data Detective: Ten Easy Rules to Make Sense of Statistics” by Tim Harford.

Business Intelligence 117

Business Intelligence Intelligence Intelligence Business 117

Athena Solutions BI

MARCH 4, 2024

For this, enterprises focus on transforming traditional data warehouses into modern infrastructures through analytical sandboxes. Analytical sandboxes enable organizations to and mine data faster. They provide controlled environments for data mining, exploration, and experimentation while remaining compliant.

Innovation 52

Innovation Data Mining Algorithm Business Intelligence 52

Athena Solutions BI

MARCH 4, 2024

For this, enterprises focus on transforming traditional data warehouses into modern infrastructures through analytical sandboxes. Analytical sandboxes enable organizations to and mine data faster. They provide controlled environments for data mining, exploration, and experimentation while remaining compliant.

Innovation 52

Innovation Data Mining Algorithm Business Intelligence 52

Netbasequid

JULY 24, 2023

Using historical data with statistical modeling, data mining, and AI, you can come very close to owning a crystal ball. By analyzing a vast amount of data, analysts can find patterns they can apply to predict what lies ahead with a high degree of accuracy. Asthma social mood analyzed through sentiment analysis.

Pharmaceutical 52

Pharmaceutical Business Competitor Analysis Competitive Landscape 52

Datapine Blog

AUGUST 29, 2022

Whether you are a complete novice or a seasoned BI professional, you will find here some books on data analytics that will help you cultivate your understanding of this essential field. As of this moment, just 5% of all accessible data is analyzed and used – just think of the potential. The author, Anil Maheshwari, Ph.D.,

Data Mining 105

Data Mining Predictive Analytics Startups Data Analysis 105