Smart Data Collective

MARCH 28, 2022

Modern businesses that neglect to invest in big data are at a tremendous disadvantage in an evolving global economy. Smart companies realize that data mining serves many important purposes that cannot be overlooked. One of the most important benefits of data mining is gaining knowledge about customers.

Data mining 116

Data mining Customer Analytics Marketing Advertising 116

Srividya Sridharan

OCTOBER 22, 2019

It’s T minus two weeks to Forrester’s 2nd Data Strategy & Insights Forum in Austin, TX. Over 300 data and analytics leaders will gather to share, learn and get inspired!

Strategy 83

Strategy Data Analytics Analytics Data Strategy 83

Smart Data Collective

APRIL 1, 2020

AJ Agrawal, the CEO of Alumnify, is one of the experts that has talked about leveraging big data in SEO. Big data is making it easier to do this research than ever. You can use data mining tools to figure out what people are looking for by extracting information on numerous platforms. You follow their advice carefully.

Data-driven 105

Data-driven Big Data Optimization Data mining 105

CIO Business Intelligence

APRIL 19, 2022

Simply collecting data isn’t enough – it needs to be collated, stored and analysed effectively and efficiently so that the trends and intelligence it holds can be trusted to formulate strategy. This is known as data traction. Mining for gold. In a data economy, there are winners and there are losers.

Digital Transformation 78

Digital Transformation Data mining Insurance Strategy 78

IBM Big Data Hub

APRIL 15, 2024

This can involve techniques like network segmentation to reduce congestion or using faster protocols like UDP for certain data types. By optimizing data transfer, we decrease the time it takes to retrieve the information you need. A data virtualization platform breaks down data silos by using data virtualization.

Analytics 64

Analytics Optimization Data-driven Metrics 64

FineReport

MARCH 24, 2024

Data analysts interpret data using statistical techniques, develop databases and data collection systems, and identify process improvement opportunities. They should possess technical expertise in data models, database design, and data mining, along with proficiency in reporting packages, databases, and programming languages.

Statistics 52

Statistics Data mining Visualization Reporting 52

Jet Global

MAY 1, 2023

All of the above points to embedded analytics being not just the trendy route but the essential one. Users Want to Help Themselves Data mining is no longer confined to the research department. Today, every professional has the power to be a “data expert.” Standalone is a thing of the past.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52