CIO Business Intelligence

JUNE 7, 2022

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.

Data Analytics 132

Data Analytics Diagnostic Analytics Management Analytics 132

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 130

Data Architecture Data Warehouse Statistics Visualization 130

CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence (BI) analysts transform data into insights that drive business value. This is done by mining complex data using BI software and tools , comparing data to competitors and industry trends, and creating visualizations that communicate findings to others in the organization.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

Smart Data Collective

OCTOBER 17, 2022

The final point to which the data has to be eventually transferred is a destination. The destination is decided by the use case of the data pipeline. It can be used to run analytical tools and power data visualization as well. Otherwise, it can also be moved to a storage centre like a data warehouse or lake.

Data Warehouse 131

Data Warehouse Data Lake Visualization Big Data 131

FineReport

JUNE 24, 2021

Business intelligence solutions are a whole combination of technology and strategy, used to handle the existing data of the enterprises effectively. Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. Data visualization analysis.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

FineReport

JULY 28, 2021

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. What is Business Intelligence? Conclusion.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

CIO Business Intelligence

MAY 12, 2022

But sometimes can often be more than enough if the prediction can help your enterprise plan better, spend more wisely, and deliver more prescient service for your customers. Most tools offer visual programming interfaces that enable users to drag and drop various icons optimized for data analysis. Highlights. Deployment.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

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. Data mining.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

Ontotext

DECEMBER 20, 2023

As the researchers behind the EOKG put it: Leveraging the data to automatically group similar odours, infer the dominant olfactory features of a particular time period or a place, answer smell-related questions, and improve the search of olfactory references in texts and images Lisena, P., van Erp, M., Bembibre, C., and Leemans, I.

Visualization 78

Visualization Data Processing Data mining Interactive 78

FineReport

JULY 16, 2021

Among these problems, one is that the third party on market data analysis platform or enterprises’ own platforms have been unable to meet the needs of business development. With the advancement of information construction, enterprises have accumulated massive data base. Data Warehouse. Data Analysis.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

CIO Business Intelligence

NOVEMBER 28, 2023

Making the most of enterprise data is a top concern for IT leaders today. With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides. Ensure value with visualizations.

Unstructured Data 127

Unstructured Data Data-driven Visualization Data Quality 127

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.”. If we had to pick one book for an absolute newbie to the field of Data Science to read, it would be this one.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

FineReport

APRIL 9, 2024

Furthermore, the implementation of healthcare data mining techniques allows organizations to uncover hidden patterns and correlations within their datasets. This not only streamlines the process of deriving insights from large volumes of data but also ensures that actionable information is readily available for clinical teams.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

FineReport

MARCH 24, 2024

Daily, data analysts engage in various tasks tailored to their organization’s needs, including identifying efficiency improvements, conducting sector and competitor benchmarking, and implementing tools for data validation. BI tools : Enables data aggregation, analysis, and visualization through dashboards and shared reports.

Statistics 52

Statistics Data mining Visualization Reporting 52

CIO Business Intelligence

SEPTEMBER 14, 2023

They’re often responsible for building algorithms for accessing raw data, too, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 134

Analytics Data Science Unstructured Data Data mining 134

Smart Data Collective

OCTOBER 25, 2023

Well, it is – to the ones that are 100% familiar with it – and it involves the use of various data sources, including internal data from company databases, as well as external data, to generate insights, identify trends, and support strategic planning. In the 1990s, OLAP tools allowed multidimensional data analysis.

Key Performance Indicator 94

Key Performance Indicator Business Intelligence Data-driven Metrics 94

CIO Business Intelligence

JANUARY 19, 2024

The certification requires passing three exams: Predictive Modeling Using SAS Enterprise Miner 14; SAS Advanced Predictive Modeling Using SAS 9.4; It covers programming skills; managing and improving data; transforming, accessing, and manipulating data; and how to work with popular data visualization tools.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

CIO Business Intelligence

MARCH 24, 2023

Whereas data governance is about the roles, responsibilities, and processes for ensuring accountability for and ownership of data assets, DAMA defines data management as “an overarching term that describes the processes used to plan, specify, enable, create, acquire, maintain, use, archive, retrieve, control, and purge data.”

Data Governance 142

Data Governance Management Metadata Data Quality 142

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 80

Data Science Data Analytics Prescriptive Analytics Analytics 80

datapine

MARCH 31, 2022

To simplify things, you can think of back-end BI skills as more technical in nature and related to building BI platforms, like online data visualization tools. Front-end analytical and business intelligence skills are geared more towards presenting and communicating data to others. b) If You’re Already In The Workforce.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 121

Predictive Analytics Analytics Predictive Modeling Data mining 121

FineReport

AUGUST 14, 2020

With the development of enterprise informatization, there are more and more kinds of data produced, and the demand for reports surges day by day. Many enterprises are eager to build a reporting system to solve the problems of report generation and management. There are two ways for enterprises to build reporting systems.

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

Smart Data Collective

DECEMBER 19, 2021

Besides, it offers data model creation, systematized data sets, developable web services, ML-powered algorithms, versatile use of data mining and so many other very efficient functionalities that make it very flexible and productive to use for Data Preprocessing.

Optimization 135

Optimization Machine Learning Data mining Statistics 135

FineReport

NOVEMBER 24, 2021

Using big data technology allows enterprises to judge future buying patterns and trends. However, fetching data from social media platforms could be a tricky problem standing in the way, let alone the following data cleaning, organization, mining, and analyzing. The intuitive interface of FineReport. Free Download.

Marketing 98

Marketing Dashboards Statistics Data mining 98

Cloudera

OCTOBER 31, 2023

They released a blog this year with the results from their annual data mining, it includes the top 3 candies purchased for each state and the quantity purchased in pounds. This got me thinking though, based on this data, there is likely a difference in taste between those buying the candy and those actually consuming it.

Data mining 78

Data mining Machine Learning Data Science Sales 78

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 127

Analytics Data Science Statistics Unstructured Data 127

IBM Big Data Hub

DECEMBER 15, 2023

When AI algorithms, pre-trained models, and data sets are available for public use and experimentation, creative AI applications emerge as a community of volunteer enthusiasts builds upon existing work and accelerates the development of practical AI solutions.

Deep Learning 67

Deep Learning Experimentation Machine Learning Risk 67

FineReport

MAY 29, 2020

It is a part of BI features that allow you to extract and dynamically display data in the form of different types of visualizations such as charts and tables, so users can transform data into useful information and discover insights. . In other words, you can view BI reporting as various styles+ dynamic data. .

Reporting 94

Reporting OLAP Visualization Software 94

Cloudera

OCTOBER 26, 2021

They released a blog this year with the results from their annual data mining, it includes the top 3 candies purchased for each state and the quantity purchased in pounds. This got me thinking though, based on this data, there is likely a difference in taste between those buying the candy and those actually consuming it.

Data mining 104

Data mining Machine Learning Data Science Sales 104

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. .” – Timo Elliot, Innovation Evangelist at SAP.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 2) Data Discovery/Visualization. We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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

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. appeared first on IBM Blog.

Machine Learning 56

Machine Learning Data Science Statistics Deep Learning 56

CIO Business Intelligence

MAY 30, 2024

Following a legislative review of state purchases in fiscal year 2022, the state of Oklahoma discovered that its agencies had procured more than $3 billion worth of goods and services outside the oversight of its Office of Management and Enterprise (OMES) Central Purchasing division.

IT 132

IT Cost-Benefit Key Performance Indicator Dashboards 132

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

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

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