IBM Big Data Hub

SEPTEMBER 19, 2023

Those who work in the field of data science are known as data scientists. The data science lifecycle Data science is iterative, meaning data scientists form hypotheses and experiment to see if a desired outcome can be achieved using available data.

Data Science 82

Data Science Data Analytics Prescriptive Analytics Analytics 82

FineReport

APRIL 9, 2024

By harnessing the power of healthcare data analysis , organizations can extract valuable insights from complex datasets, ultimately leading to improved healthcare outcomes and operational efficiency. The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

datapine

MARCH 31, 2022

S/He is responsible for providing cost-effective solutions to achieve business objectives, comparing operational progress against project development while assisting in planning budgets, forecasts, timelines, and developing reports on performance metrics. They can help a company forecast demand, or anticipate fraud.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

FineReport

MARCH 24, 2024

Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue. Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

Jedox

JANUARY 16, 2019

1: Predictive Analytics. The progression from descriptive to diagnostic to predictive analytics will continue to accelerate. This also has the additional benefit of moving the FP&A function further up both the analytical intelligence and value creation curves. 3: Dynamic Planning, Budgeting and Forecasting.

Finance 44

Finance Forecasting Predictive Analytics Cost-Benefit 44

FineReport

APRIL 26, 2023

With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth. What is Big Data? What is Big Data? Other sectors such as banking, healthcare, and education also take advantage of big data.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

IBM Big Data Hub

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining.

Machine Learning 59

Machine Learning Data Science Statistics Deep Learning 59

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 43

Technology Prescriptive Analytics Machine Learning Business Intelligence 43

Smarten

MAY 24, 2017

To be successful in business, every organization must find a way to accurately forecast and predict the future of its market, and its internal operations, and better understand the buying behavior of its customers and prospects. Why and how might an enterprise use Plug n’ Play Predictive Analysis?

Forecasting 40

Forecasting Business Intelligence Sales Predictive Analytics 40

Jen Stirrup

OCTOBER 30, 2022

What distinguishes Data Mining from other methods of exploring data, and what is its usefulness? Critics might say that if you torture the data enough, it will eventually confess! Computers contain lots of data, but people need help to turn this data into intelligence.

Data mining 52

Data mining Predictive Analytics Cost-Benefit OLAP 52

Rita Sallam

JULY 22, 2016

And as modern BI platforms improve their enterprise features around governance, extensibility, scheduling, alerting and printing, we see customers using them for both mode 1 system of record analytics AND mode 2, agile and iterative self- service. Because modern BI platforms allow IT to deliver content to business people faster.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

datapine

MARCH 25, 2022

Well, what if you do care about the difference between business intelligence and data analytics? It doesn’t matter if you run a small business operation or enterprise, if you have to make decisions that will affect you in the short or long run, it is wise to use both. What Is Business Intelligence And Analytics?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

BizAcuity

MARCH 31, 2022

Gaming companies use AI for segmenting players and predicting churn rates in order to retain them through effective campaigns. Not just banking and financial services, but many organizations use big data and AI to forecast revenue, exchange rates, cryptocurrencies and certain macroeconomic variables for hedging purposes and risk management.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

datapine

AUGUST 29, 2022

An excerpt from a rave review : “I would definitely recommend this book to everyone interested in learning about data from scratch and would say it is the finest resource available among all other Big Data Analytics books.”. 7) Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die by Eric Siegel.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

FineReport

JULY 18, 2022

Here I list 15 excellent tools for data analysis, among which there must be the one that fits you best. FineReport is a business intelligence reporting and dashboard software that helps enterprises transform data into value. It also has a commercial version for enterprises. SAS Forecasting. FineRepor t.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

Decision Management Solutions

JULY 8, 2020

The research looked at the increasingly broad portfolio of analytic capabilities available to enterprises – everything from traditional Business Intelligence (BI) capabilities like reporting and ad-hoc queries to modern visualization and data discovery capabilities as well as advanced (predictive) analytics.

Reporting 134

Reporting Analytics ROI Key Performance Indicator 134

Smarten

DECEMBER 12, 2018

Advanced analytics is a comprehensive set of analytical techniques and methods designed to help businesses discover trends and patterns, solve problems, accurately predict the future and drive change using data-driven, fact-based information. What Are the Benefits of Advanced Analytics?

Analytics 40

Analytics Business Intelligence Data mining Predictive Modeling 40

datapine

NOVEMBER 27, 2019

You simply choose the data source you want to analyze and the column/variable (for instance, revenue) that the algorithm should focus on. Then, calculations will be run and come back to you with growth/trends/forecast, value driver, key segments correlations, anomalies, and what-if analysis.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Jet Global

MAY 1, 2023

In a recent study by Mordor Intelligence , financial services, IT/telecom, and healthcare were tagged as leading industries in the use of embedded analytics. Healthcare is forecasted for significant growth in the near future. All of the above points to embedded analytics being not just the trendy route but the essential one.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52