Srividya Sridharan

JUNE 12, 2019

This month’s Insights Beat focuses on the latest research in our insights-driven playbook; showcases multiple data, analytics, and machine-learning vendor evaluations; and shines a light on B2B analytics techniques. Is Your Data Strategy Lacking? Time To Sound The Alarm In order to compete in the age of […].

Data Strategy 92

Data Strategy Strategy B2B Data-driven 92

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! For those of you who have already registered and planning to attend, you answered one key question during the registration process: What is your top […].

Strategy 83

Strategy Data Analytics Analytics Data Strategy 83

Srividya Sridharan

SEPTEMBER 5, 2019

Discover the themes and topics we'll be tackling at this year's Data Strategy & Insights Forum.

Data Strategy 81

Data Strategy Strategy Predictive Analytics Customer Analytics 81

Smart Data Collective

DECEMBER 17, 2021

It can refer to predictive analytics or even “big data.” How Do I Digitize My Data to Get the Most Out of My BI Strategy? To get the most out of your BI strategy, you need to convert your data into a digital format. There are many benefits of digitizing your data to get the most out of your BI strategy.

Business Intelligence 94

Business Intelligence Cost-Benefit Dashboards Interactive 94

Smart Data Collective

MARCH 11, 2022

Therefore, you need sophisticated customer analytics to analyze complex customer behavior. This article will go over the concept of customer service analytics and some of the uses and advantages it could provide to a business. There are a lot of great benefits of using big data in customer service.

Customer Analytics 116

Customer Analytics Analytics Key Performance Indicator Big Data 116

FineReport

MARCH 24, 2024

Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue. Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making. JPMorgan Chase & Co.:

Statistics 52

Statistics Data mining Visualization Reporting 52

Business Over Broadway

SEPTEMBER 27, 2018

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. Your marketing strategy is only as good as your ability to deliver measurable results.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76