Rocket-Powered Data Science

JULY 19, 2023

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

Smarten

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Market Changes. Descriptive Statistics. Predictive Analytics Using External Data. Forecasting.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

Rocket-Powered Data Science

MARCH 10, 2020

Consider this marketing attribution use case: person A sees the marketing campaign, person A talks about it on their social media account, person B is connected to person A and sees the comment, and subsequently person B buys the product. How does one express “context” in a data model? The campaign looks like a failure.

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

Smart Data Collective

NOVEMBER 24, 2020

The market for business intelligence services is expected to reach $33.5 Prescriptive Analytics. Using the information in making business predictions is not a new trend. It will be used to simplify access to information and boost operations. Access to Essential Information. billion by 2025. Increase in ROI.

Business Intelligence 130

Business Intelligence Visualization Dashboards Prescriptive Analytics 130

FineReport

JULY 28, 2021

Good data can give you keen insights, convincing evidence to make informed decisions. Business Intelligence describes the process of using modern data warehouse technology, data analysis and processing technology, data mining, and data display technology for visualizing, analyzing data, and delivering insightful information.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve.

Machine Learning 55

Machine Learning Data Science Statistics Deep Learning 55

Smarten

FEBRUARY 11, 2019

Transform Your Culture with Analytics Translators and Citizen Data Scientists! As business becomes more competitive, as markets get tighter, there is a need to leverage and optimize your resources to the greatest extent possible. This role is known as an ‘ Analytics Translator ’.

Analytics 40

Analytics Prescriptive Analytics ROI Statistics 40

Sisense

JUNE 30, 2020

The primary objective of data visualization is to clearly communicate what the data says, help explain trends and statistics, and show patterns that would otherwise be impossible to see. The simplest type, descriptive analytics , describes something that has already happened and suggests its root causes.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Sisense

AUGUST 11, 2019

Typically, this involves using statistical analysis and predictive modeling to establish trends, figuring out why things are happening, and making an educated guess about how things will pan out in the future. So, BI deals with historical data leading right up to the present, and what you do with that information is up to you.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

Sisense

SEPTEMBER 12, 2019

A business intelligence strategy is a blueprint that enables businesses to measure their performance, find competitive advantages, and use data mining and statistics to steer the business towards success. . What is the market segment we should focus on? But what is a BI strategy in today’s world? Share knowledge with customers?

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

Cloudera

MARCH 2, 2018

In the nonprofit sector, early applications of data analytics and machine learning have mostly focused on improving fundraising and marketing. In many settings this is the best information available. Achieve best possible outcomes for individuals through the application of prescriptive analytics.

Data-driven 43

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 43

Birst BI

OCTOBER 30, 2018

The foundation of predictive analytics is based on probabilities. To generate accurate probabilities of future behavior, predictive analytics combine historical data from any number of applications with statistical algorithms. Predictive analytics can become the elusive crystal ball that companies are seeking.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Jet Global

MAY 1, 2023

Section 2: Embedded Analytics: No Longer a Want but a Need Section 3: How to be Successful with Embedded Analytics Section 4: Embedded Analytics: Build versus Buy Section 5: Evaluating an Embedded Analytics Solution Section 6: Go-to-Market Best Practices Section 7: The Future of Embedded Analytics Section 1: What are Embedded Analytics?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Andrew White

JANUARY 11, 2021

In general, I would offer that information-based industries tend to be more advanced than non-information-based industries. As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. How does CDO overlap with Market Research functions?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52