Smart Data Collective

JULY 20, 2022

A growing number of businesses use big data technology to optimize efficiency. However, companies that have a formal data strategy are still in the minority. Only 32% of executives have officially laid out a data strategy to drive their organization. What is Lean Thinking?

Data-driven 133

Data-driven Optimization Big Data Data Strategy 133

Smart Data Collective

DECEMBER 22, 2021

Big data technology is one of the most important forms of technology that new startups must use to gain a competitive edge. The success of your startup might depend on your ability to use big data to your full advantage. The right data strategy can help your startup become profitable.

Big Data 145

Big Data Data mining Data-driven Predictive Analytics 145

Cloudera

NOVEMBER 30, 2021

Some organizations have taken this as an opportunity for positive change by moving workloads to the cloud and utilizing enterprise data strategies that are key to their business resiliency. The maturity model suggests that those with clear strategies and approaches to transform their technologies are ahead of their competitors.

Reporting 73

Reporting Enterprise Data Strategy Strategy 73

Smart Data Collective

NOVEMBER 2, 2022

These companies need to employ detailed data strategies to find the right prospects. Therefore, if you intend to hire a Fintech marketing company, you need to make sure that they use data to their advantage. Find a Fintech Marketing Company that Makes the Most of Big Data.

Marketing 145

Marketing Big Data Data-driven Sales 145

Smart Data Collective

AUGUST 21, 2019

According to research from Meticulous Research, big data is going to play a huge part in this. Understanding the Nature of Digital Products and Building a Data Strategy Around Them. They can use many different types of machine learning and predictive analytics technology to get the most of it.

Big Data 96

Big Data Sales Marketing Predictive Analytics 96

Sisense

MARCH 17, 2021

Harvard Business Review Analytics Services Pulse Report for Sisense, March 2021. This is a huge impediment, and overcoming it requires a process change: Only the right analytics technology, seamlessly infused into user workflows, will bridge not only the skills gap, but the gap between insights and actions.

Analytics 97

Analytics Data-driven Visualization KPI 97

Cloudera

MAY 28, 2019

And once a model has been trained, tuned and optimized, data scientists want to put it to work for the business ASAP. What emerges is the criticality of a data strategy and core data management competency, including both data and model management, to support enterprise ML initiatives.

Data Science 50

Data Science Machine Learning Data Strategy Cost-Benefit 50