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

CIO Business Intelligence

OCTOBER 4, 2023

This volatility can make it hard for IT workers to decide where to focus their career development efforts, but there are at least some areas of stability in the market: despite all other changes in pay premiums, workers with AI skills and security certifications continued to reap rich rewards.

Prescriptive Analytics 126

Prescriptive Analytics IT Machine Learning Risk 126

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. Complete Set of Analytical Techniques. Descriptive Statistics. Forecasting.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

FineReport

JULY 28, 2021

If you are curious about the difference and similarities between them, this article will unveil the mystery of business intelligence vs. data science vs. data analytics. Definition: BI vs Data Science vs Data Analytics. What is Data Analytics? Business Intelligence vs Data Science vs Data Analytics shows at FineReport first.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

CIO Business Intelligence

NOVEMBER 14, 2022

Bayer Crop Science has applied analytics and decision-support to every element of its business, including the creation of “virtual factories” to perform “what-if” analyses at its corn manufacturing sites. Digital marketing and services firm Clearlink uses a DSS system to help its managers pinpoint which agents need extra help.

Data mining 130

Data mining Data-driven Statistics OLAP 130

Sisense

JUNE 30, 2020

Our BI Best Practices demystify the analytics world and empower you with actionable how-to guidance. Data visualization and visual analytics are two terms that come up a lot when new and experienced analytics users alike delve into the world of data in their quest to make smarter decisions. Thomas, and Kristin A.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

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. These professionals collaborate with IT teams, management, or data scientists to align analytical efforts with organizational objectives across various industries.

Statistics 52

Statistics Data mining Visualization Reporting 52

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.” In this article, we consider the question of ‘what’s in it for me?’

Prescriptive Analytics 52

Prescriptive Analytics Statistics Consulting Metrics 52

Rocket-Powered Data Science

MARCH 10, 2020

I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications. I publish this in its original form in order to capture the essence of my point of view on the power of graph analytics. Well, the graph analytics algorithm would notice!

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

Sisense

AUGUST 11, 2019

This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal. So…what is the difference between business intelligence and business analytics? What Does “Business Analytics” Mean? What’s In a Name? Let’s take a closer look.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

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

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

Jet Global

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Smart Data Collective

NOVEMBER 24, 2020

The market for business intelligence services is expected to reach $33.5 Prescriptive Analytics. The emerging trends of the last decade prove that in the future of business intelligence, the market of BI-as-a-Service will grow exponentially. Automation & Augmented Analytics. billion by 2025.

Business Intelligence 130

Business Intelligence Visualization Dashboards Prescriptive Analytics 130

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

Smart Data Collective

OCTOBER 14, 2019

Whether they want a career as an app developer or data analyst, the skillsets below can help them find lucrative careers in a competitive job market. From artificial intelligence and machine learning to blockchains and data analytics, big data is everywhere. Let’s take a look at the skillsets developers need to have. Apache Spark.

Big Data 74

Big Data Software Data mining Prescriptive Analytics 74

Birst BI

OCTOBER 30, 2018

Fortunately, advances in analytic technology have made the ability to see reliably into the future a reality. Today, the most common usage of business intelligence is for the production of descriptive analytics. . Descriptive Analytics: Valuable but limited insights into historical behavior.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

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. How does CDO overlap with Market Research functions? These are fluid and change quite quickly.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Sisense

JULY 22, 2020

Ashley Kramer is our new chief product and marketing officer. She recently spoke with SearchBusinessAnalytics about her vision for the Sisense platform and what it’s like being one of the few women helping shape software development at a major business intelligence and analytics vendor.

Prescriptive Analytics 52

Prescriptive Analytics Dashboards Statistics Data-driven 52

Cloudera

MARCH 2, 2018

The private sector already very successfully uses data analytics and machine learning not only to realise efficiency gains but also – even more importantly – to create completely new services and business models. Gain improved intelligence on operating context and needs through expanded use of descriptive analytics techniques.

Data-driven 43

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 43

Sisense

SEPTEMBER 12, 2019

And every business – regardless of the industry, product, or service – should have a data analytics tool driving their business. 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. .

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81