Smart Data Collective

MARCH 11, 2022

There is no disputing that data analytics is a huge gamechanger for companies all over the world. Global businesses are projected to spend over $684 billion on big data by 2030. There are many ways that companies are using big data to boost their profitability. Do you know what motivates your customers?

Customer Analytics 130

Customer Analytics Analytics Key Performance Indicator Big Data 130

Smart Data Collective

DECEMBER 17, 2021

Business Intelligence is the collection, storage, analysis, and reporting of data to make better business decisions. It can refer to predictive analytics or even “big data.” Business Intelligence is the process of using raw data and analyzing it to get insights into a company’s performance.

Business Intelligence 124

Business Intelligence Cost-Benefit Dashboards Interactive 124

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? (Jeremy Vale and Paolo Santamaria contributed to this post.)

Data Strategy 92

Data Strategy Strategy B2B Machine Learning 92

Boris Evelson

AUGUST 25, 2022

Firms with advanced insights-driven business (IDB) capabilities continue to outpace their competition and deliver better growth than less mature firms. In our latest updated research, we found that: More […].

Data-driven 10

Data-driven Strategy Predictive Analytics Customer Analytics 10

AWS Big Data

MARCH 26, 2024

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes.

Data Strategy 82

Data Strategy Strategy Data Warehouse Prescriptive Analytics 82

Domino Data Lab

JULY 28, 2021

Data science is a field at the convergence of statistics, computer science and business. Its value is so significant that scaling data science has become the new business imperative with organizations spending tens of millions of dollars on data, technology and talent. What is Data Science and How is it Used?

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

Srividya Sridharan

FEBRUARY 7, 2019

Punxsutawney Phil predicted an early spring this year, and there is hope (and warmth) in the air.[i] i] But it’s not always rosy for you as a data, analytics, and insights leader. You tirelessly toil to get value from your enterprise data and try to apply those insights at scale to impact business […].

Enterprise 88

Enterprise Data Analytics Analytics Predictive Analytics 88