Smart Data Collective

APRIL 7, 2022

Companies in the distribution industry are particularly dependent on data, due to the complicated logistics issues they encounter. There are many reasons that data analytics and data mining are vital aspects of modern e-commerce strategies.

B2B 109

B2B Sales Big Data Cost-Benefit 109

Smart Data Collective

FEBRUARY 4, 2021

Increased sales and brand awareness are normally the top objectives in any business marketing campaign and video should be no different. You can use big data to help identify your objectives. You can research goals that other marketers have used with data mining tools and build your own strategies around them.

Data-driven 86

Data-driven Marketing Big Data Data mining 86

Smarten

MAY 24, 2017

One of the most important elements of advanced data discovery and advanced analytics tools is plug n’ play predictive analysis and forecasting tools. These tools can support the enterprise initiative to implement self-serve advanced analytics and transform business users into Citizen Data Scientists.

Forecasting 40

Forecasting Business Intelligence Sales Predictive Analytics 40

Smarten

JANUARY 31, 2019

Put simply, business Intelligence uses historical data to reveal where the business has been, and managers can use this data to predict competitive response and discover what is changing in customer buying behavior and in sales.

Business Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

Smart Data Collective

DECEMBER 22, 2021

Likewise, a business in the call center industry would benefit heavily from various digital tools, such as predictive dialer software from Convoso. It is an analytics and cloud-based software that significantly improves productivity for lead generation outbound campaigns and high-volume sales.

Big Data 136

Big Data Data mining Data-driven Predictive Analytics 136

Occam's Razor

AUGUST 22, 2011

Accuracy, Precision & Predictive Analytics. Multiplicity: Succeed Awesomely At Web Analytics 2.0! Convert Data Skeptics: Document, Educate & Pick Your Poison. Rethink Web Analytics: Introducing Web Analytics 2.0. Data Mining And Predictive Analytics On Web Data Works?

KPI 124

KPI Metrics Measurement ROI 124

FineReport

JUNE 24, 2021

Business intelligence can assist decision-making and operation optimization, either at the operational or tactical, or strategic levels. Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. Data preparation and data processing. Data security.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

Grooper

AUGUST 19, 2019

By taking the organization as a whole into consideration, analytics projects take on a whole new level of value and complexity. There are solutions for unifying data across data silos, but the more information that is made easy to consume, the greater the benefit. Sales data helps services prepare and predict changes in volume.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

datapine

NOVEMBER 27, 2019

The demand for real-time online data analysis tools is increasing and the arrival of the IoT (Internet of Things) is also bringing an uncountable amount of data, which will promote the statistical analysis and management at the top of the priorities list. It’s an extension of data mining which refers only to past data.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Jet Global

MAY 1, 2023

All of the above points to embedded analytics being not just the trendy route but the essential one. Users Want to Help Themselves Data mining is no longer confined to the research department. Today, every professional has the power to be a “data expert.” Standalone is a thing of the past.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52