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

These professionals collaborate with IT teams, management, or data scientists to align analytical efforts with organizational objectives across various industries. Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios.

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.’ Descriptive Statistics. Predictive Analytics Using External Data. Maintenance Management. Forecasting.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

Smarten

FEBRUARY 16, 2023

Gartner says that a Citizen Data Scientist is “a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics.” This term has been around for some time and was popularized by Gartner.

Prescriptive Analytics 52

Prescriptive Analytics Statistics Consulting Metrics 52

Smarten

JANUARY 18, 2023

Gartner defines a citizen data scientist as ‘a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics.’

Key Performance Indicator 52

Key Performance Indicator Prescriptive Analytics Business Objectives Measurement 52

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 54

Machine Learning Data Science Statistics Deep Learning 54

FineReport

JULY 28, 2021

It helps executives, managers, and employees make informed business decisions. . It can be defined as a combination of statistics, math, and computer science techniques employed to discover the patterns behind data and thus help the decision-making process. Typical tools for data science: SAS, Python, R.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

Jedox

JULY 31, 2018

We also took a first look at how fp&a and business intelligence professionals can start to derive tangible value from these technologies for Enterprise Performance Management. Now, we will take a deeper look into AI, Machine learning and other trending technologies and the evolution of data analytics from descriptive to prescriptive.

Technology 44

Technology Prescriptive Analytics Machine Learning Business Intelligence 44

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. Or is Business Intelligence One Part of Business Analytics? What About “Business Intelligence”? Confused yet?

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

Sisense

JULY 22, 2020

She began her career as a software engineering manager at NASA, worked at Oracle, Amazon, and elsewhere before moving to Alteryx, serving as senior vice president of product. There are many more things we can do to make analytics easier for everybody involved and get more people involved in analytics.

Prescriptive Analytics 52

Prescriptive Analytics Dashboards Statistics Data-driven 52

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. . Spend some time on this with your team members, stakeholders, and management and go over all the scenarios.

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

Rocket-Powered Data Science

JULY 14, 2023

I recently saw an informal online survey that asked users what 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.

Analytics 166

Analytics Internet of Things Prescriptive Analytics Data Science 166

FineReport

MARCH 2, 2021

At first glance, reports and analytics may look similar – lots of charts, graphs, trend lines, tables, statistics derived from data. Reports VS Analytics. Definitions : Reporting vs Analytics. Here, the ordinary users can be managers, employees, or yourself(self-service reporting). So what is the difference?

Reporting 98

Reporting Analytics Key Performance Indicator Prescriptive Analytics 98

Sisense

JUNE 30, 2020

Our BI Best Practices demystify the analytics world and empower you with actionable how-to guidance. In a world increasingly dominated by data, users of all kinds are gathering, managing, visualizing, and analyzing data in a wide variety of ways. Broadly, there are three types of analytics: descriptive , prescriptive , and predictive.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

datapine

NOVEMBER 27, 2019

Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

FEBRUARY 27, 2020

The goal of enabling Citizen Data Scientists is to optimize business decisions and the time of data scientists so that business users can confidently leverage advanced analytics tools to make decisions and data scientists can focus on more critical, strategic activities.

Analytics 52

Analytics Prescriptive Analytics Statistics Optimization 52

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. The commercial use of predictive analytics is a relatively new thing.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Smarten

APRIL 11, 2018

Gartner defines a Citizen Data Scientist as ‘a person who creates or generates models that leverage predictive or prescriptive analytics but whose primary job function is outside of the field of statistics and analytics.’ Works well with technical and management teams.

Analytics 40

Analytics Prescriptive Analytics Business Intelligence ROI 40

Andrew White

JANUARY 11, 2021

How do you think Technology Business Management plays into this strategy? What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer? Value Management or monetization. Risk Management (most likely within context of governance). Product Management. Governance. Architecture.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

They migrated to embedded analytics, and it changed their world. Now, Delta managers can get a full understanding of their data for compliance purposes. Internal Apps Any organization that develops or deploys a software application often has a need to embed analytics inside its application.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52