CIO Business Intelligence

JANUARY 19, 2024

The exam covers everything from fundamental to advanced data science concepts such as big data best practices, business strategies for data, building cross-organizational support, machine learning, natural language processing, scholastic modeling, and more.

Data Science 125

Data Science Machine Learning Predictive Modeling Experimentation 125

CIO Business Intelligence

JUNE 14, 2023

Candidates are required to complete a minimum of 12 credits, including four required courses: Algorithms for Data Science, Probability and Statistics for Data Science, Machine Learning for Data Science, and Exploratory Data Analysis and Visualization. The credential does not expire.

Big Data 124

Big Data Data Analytics Analytics Predictive Modeling 124

datapine

AUGUST 29, 2022

James Warren, on the other part, is a successful analytics architect with a background in machine learning and scientific computing. 5) Data Analytics Made Accessible, by Dr. Anil Maheshwari. Best for : the new intern who has no idea what data science even means.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

CIO Business Intelligence

NOVEMBER 14, 2022

The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more. Decision support systems are generally recognized as one element of business intelligence systems, along with data warehousing and data mining.

Data mining 130

Data mining Data-driven Statistics OLAP 130

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 78

Data Science Data Analytics Prescriptive Analytics Analytics 78

datapine

NOVEMBER 27, 2019

Often seen as the highest foe-friend of the human race in movies ( Skynet in Terminator, The Machines of Matrix or the Master Control Program of Tron), AI is not yet on the verge to destroy us, in spite the legit warnings of some reputed scientists and tech-entrepreneurs. Industries harness predictive analytics in different ways.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data Architecture 127

Data Architecture Data Warehouse Statistics Visualization 127

Decision Management Solutions

JUNE 4, 2021

Like many enterprises, you’ve likely made a hefty investment in analytic technology—from interactive dashboards and advanced visualization tools to data mining, predictive analytics, machine learning (ML), and artificial intelligence (AI).

Analytics Technologies 52

Analytics Technologies Technology Modeling Key Performance Indicator 52

BizAcuity

MAY 16, 2022

As a data analytics company, we have been observing a trend among certain large enterprises who are looking for real-time data streaming for analytics. Integrating data through data warehouses and data lakes is one of the standard industry best practices for optimizing business intelligence.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

BizAcuity

MARCH 31, 2022

With the massive influx of big data, several businesses use AI platforms to help save costs in a number of ways including automating certain procedures, speeding up key activities among others. Enterprise Artificial Intelligence. A lot of testing AI methods can be utilized for better and more accurate outcomes from mining the data.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 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

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

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

JULY 31, 2018

Part one of our blog series explored how people are the driving force behind the digital transformation and how it is fueled by artificial intelligence and machine learning. 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

Jedox

OCTOBER 22, 2020

In addition to using data to inform your future decisions, you can also use current data to make immediate decisions. Some of the technologies that make modern data analytics so much more powerful than they used t be include data management, data mining, predictive analytics, machine learning and artificial intelligence.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

datapine

MARCH 31, 2022

While analysts focus on historical data to understand current business performance, scientists focus more on data modeling and prescriptive analysis. They use advanced technologies such as machine learning models to generate predictions about future business performance.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

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. You want to learn more about predictive analytics?

Finance 45

Finance Forecasting Predictive Analytics Cost-Benefit 45

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

Grooper

AUGUST 19, 2019

Traditional data sources like end of month statements and quarterly reports are no longer enough. Access to enterprise-wide information fuels analytics solutions and enable a new approach for decision making. Applied analytics Business analytics Machine learning and data science. Well, almost.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

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. FineRepor t. From FineReport. Free Download.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

Cloudera

NOVEMBER 30, 2017

We simply can not grow as an enterprise without the support, voice, and participation of our users and constituents. It’s almost indefensible today to say that there is a single more important asset to a modern business than the health and happiness of their customers. However, rarely are our customers raising their hands to speak to us.

Strategy 40

Strategy Big Data Data mining Visualization 40

Boris Evelson

OCTOBER 5, 2020

Respondents to the same survey claimed that less than half (49%) of all business decisions in their enterprise are […]. But reality is sobering: Only 7% of firms report advanced, insights-driven practices.

Data-driven 90

Data-driven Analytics Reporting Enterprise 90

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

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.” Diagnostic Analytics: No longer just describing.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52