Smart Data Collective

MARCH 29, 2021

These are unprecedented times for the analytics industry. Thanks to new tools, including real-time tracking capabilities, businesses had access to more information about their marketing campaigns than ever before. In recent years, though, there’s been significant growth in the use of predictive analytics.

Marketing 123

Marketing Metrics Descriptive Analytics Predictive Analytics 123

Smart Data Collective

JANUARY 19, 2022

Big data is extremely important in the marketing profession. billion on marketing analytics by 2026. A growing number of companies are using data analytics to better understand the mindset of their customers, provide better customer service , forecast industry trends and identify the ROI of various marketing strategies.

Consulting 96

Consulting Data-driven Marketing Strategy 96

datapine

AUGUST 14, 2019

Companies surely need data scientists to help them empower their analytics processes, build a numbers-based strategy that will boost their bottom line, and ensure that enormous amounts of data are translated into actionable insights. But being an inquisitive Sherlock Holmes of data is no easy task. Source: RStudio.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Smart Data Collective

FEBRUARY 21, 2020

Market Analytics and Profitability. Another breakthrough has been statistical analysis as it relates to the stock market and other investments. Customer data will become even more plentiful, and analytical capabilities will expand further in kind. Customer Perks. The possibilities are practically endless.

Big Data 120

Big Data Machine Learning Statistics Predictive Analytics 120

datapine

FEBRUARY 17, 2023

3) The Link Between White Label BI & Embedded Analytics 4) An Embedded BI Workflow Example 5) White Labeled Embedded BI Examples In the modern world of business, data holds the key to success. That said, data and analytics are only valuable if you know how to use them to your advantage. What Is White Label Business Intelligence?

Analytics 191

Analytics Cost-Benefit Dashboards Business Intelligence 191

datapine

MAY 9, 2019

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. Data access, analytics, and presentation. The data warehouse.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

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. underspecified) due to omitted metrics.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

Smart Data Collective

MARCH 11, 2022

There is no disputing that data analytics is a huge gamechanger for companies all over the world. One of the most important is in the field of marketing. Therefore, you need sophisticated customer analytics to analyze complex customer behavior. What Is Customer Service Analytics? Customer Service Analytics: Use Cases.

Customer Analytics 116

Customer Analytics Analytics Key Performance Indicator Big Data 116

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Prescriptive Analytics: What should we do?

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Andrew White

JANUARY 11, 2021

It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. The fill report is here: Leadership Vision for 2021: Data and Analytics. What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

FineReport

APRIL 3, 2024

These BI Dashboard tools blend advanced analytics with user-friendly interfaces, revealing invaluable insights. Integrated with diverse data sources, they empower users to analyze data directly within the dashboard interface, democratizing data analytics for both technical and non-technical users.

Dashboards 52

Dashboards Visualization Metrics Interactive 52