Smart Data Collective

SEPTEMBER 4, 2020

Big data is becoming increasingly important in business decision-making. The market for data analytics applications and solutions is expected to reach $105 billion by 2027. However, big data technology is only a viable tool for business decision-making if it is utilized appropriately.

Data-driven 86

Data-driven Big Data Metrics Strategy 86

Smart Data Collective

SEPTEMBER 8, 2020

You can see how big data and AI are being utilized by the most astute CBD marketers. You can get a better sense of the role that big data plays in the changing direction of the market. So how can you stand out in a crowded marketplace by leveraging data analytics ?

Data-driven 110

Data-driven Marketing Big Data Advertising 110

Smart Data Collective

OCTOBER 21, 2020

The concept of email marketing predates the big data phenomenon by at least 20 years. However, data-driven insights have clearly played a profound role in the future of email marketing. Companies need to find new ways to use big data to embrace new email strategies. Email for Businesses: A Crucial Channel.

Data-driven 79

Data-driven Big Data Metrics Machine Learning 79

IBM Big Data Hub

DECEMBER 16, 2022

Their role has expanded from providing business intelligence to management, to ensuring high-quality data is accessible and useful across the enterprise. In other words, they must ensure that data strategy aligns to business strategy. But process and people can’t be ignored.

Enterprise 52

Enterprise Data Architecture Data-driven ROI 52

datapine

JANUARY 24, 2021

This can include a multitude of processes, like data profiling, data quality management, or data cleaning, but we will focus on tips and questions to ask when analyzing data to gain the most cost-effective solution for an effective business strategy. Today, big data is about business disruption.

IT 317

IT Statistics KPI Data-driven 317

BizAcuity

MAY 16, 2022

All of which can be used to increase profitability, gain better ROIs, and be better adapted to changing economic landscape and consumer behavior. The more effectively a company uses data, the better it performs. Cutting down latency or delay is now one of the most crucial elements of business intelligence strategy in present times.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry? Why is data analytics important for travel organizations?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Smart Data Collective

NOVEMBER 24, 2020

Big data is central to the success of modern marketing strategies. Today, more than ever, companies need to find more innovative ways to leverage data analytics to create a competitive edge in an everchanging landscape. One of the most important, yet overlooked, benefits of data is with scheduling.

Marketing 103

Marketing Optimization Strategy Big Data 103

CDW Research Hub

APRIL 28, 2020

Whether on AWS, Azure, Google Cloud Platform, or all three, you need a data and analytics platform that can take full advantage of the power and economics of the cloud. But before you can reap the benefits and ROI of a cloud data platform and an AI-driven analytics solution, you need to get your data there.

Data-driven 52

Data-driven Analytics Consulting ROI 52

Rocket-Powered Data Science

OCTOBER 6, 2023

Note how this simple mathematical expression of prescriptive analytics is exactly the opposite of our previous expression of predictive analytics (given X, find Y). Here are a few business examples of this type of prescriptive analytics: Which marketing campaign is most efficient and effective (has best ROI) in optimizing sales?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

IBM Big Data Hub

AUGUST 4, 2023

This includes tools that do not require advanced technical skill or deep understanding of data analytics to use. How to get started with data democratization As with any major change in business operations, companies should develop a comprehensive data strategy to reach their data democratization goals.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59