Smarten

NOVEMBER 26, 2023

Without business intelligence, the enterprise does not have an objective understanding of what works, what does not work, and how, when and where to make changes to adapt to the market, its customers and its competition. BI tools leverage analytics and reporting, help the enterprise manage data and user access and plan for the future.

Marketing 40

Marketing Business Intelligence Key Performance Indicator Prescriptive Analytics 40

CIO Business Intelligence

JANUARY 20, 2023

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

Cloudera

SEPTEMBER 22, 2022

In this post, I’ll explore opportunities to enhance risk assessment and underwriting, especially in personal lines and small and medium-sized enterprises. To me, this means that by applying more data, analytics, and machine learning to reduce manual efforts helps you work smarter.

Analytics 98

Analytics Insurance IoT Risk 98

Smart Data Collective

DECEMBER 19, 2021

Enterprise Application Integration (EAI): EAI helps Python communicate or call codes directly from other languages like Java, C, or C++. In such cases, data analysts run the descriptive analytics to find out, and Python comes into the business. Python Makes Decision Making Simple.

Optimization 135

Optimization Machine Learning Data mining Statistics 135

O'Reilly on Data

OCTOBER 16, 2018

As BI evolves from traditional reporting and descriptive analytics toward data science and AI, many practitioners fear that new capabilities will make their skill sets obsolete.Fighting new initiatives is, perhaps, a natural preservation instinct. To amplify means to evangelize.

Business Intelligence 149

Business Intelligence Data Science Descriptive Analytics Strategy 149

FineReport

APRIL 26, 2023

In this article, we will explore the importance of Big Data, why enterprises need Big Data tools, how to choose the right Big Data analytics tools and provide a list of the top 10 Big Data analytics tools available today. Why do Enterprises Need Big Data Tools? Enables Predictive Analytics on data.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Alation

NOVEMBER 28, 2022

Spreadsheets dominate the activities of gathering and preparing data, and performing descriptive analytics. Source: IDC, Data and Analytics in a Digital-First World commissioned by Alteryx. Consider how many analytic spreadsheets exist in large enterprise organizations. Spreadsheets are dark matter.

Descriptive Analytics 52

Descriptive Analytics Risk Sales Data-driven 52

CIO Business Intelligence

MARCH 27, 2024

E l’IT è lo strumento che permette tutto il processo”, afferma Gianpaolo Vitulano, Enterprise Data Architect e senior manager con esperienze, tra l’altro, in aziende della sanità e della manifattura. L’implementazione dell’output dell’analisi di quei dati, nella strategia di business, è l’attivazione di quel valore.

Data Governance 52

Data Governance Data Lake Data Strategy Data-driven 52

FineReport

MARCH 24, 2024

Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue.

Statistics 52

Statistics Data mining Visualization Reporting 52

Sisense

SEPTEMBER 12, 2019

Originating with Gartner, this chart includes the analytic features needed for a full analytics strategy, and what our AI team believe to be the absolute future of analytics – Cognitive Analytics. . In order to know where to go, you must first find yourself on this chart. A Centralized Approach.

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

Domino Data Lab

JUNE 2, 2019

In fact, recent industry surveys point out how: Company culture is one of the most significant stumbling blocks for enterprise adoption of effective data-related practices. Many enterprise organizations with sophisticated data practices place those kinds of decisions on data science team leads rather than the executives or product managers.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

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

Enterprise Artificial Intelligence. Enterprise Artificial intelligence (AI) is a common jargon used to refer to how an organization integrates artificial intelligence (AI) into its infrastructure to drive digital transformation. Artificial Intelligence Analytics.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

datapine

JANUARY 31, 2022

Business intelligence can also be referred to as “descriptive analytics”, as it only shows past and current state: it doesn’t say what to do, but what is or was. BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Sisense

JULY 23, 2021

Descriptive analytics also help them understand the number of athletes and workers required to support that specific competition or sport. >>>Infused analytics can help evolve every part of your business. “We get access, post-Games, to the ticket data to analyze any patterns in terms of incidents and responses.”.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

Jet Global

MAY 1, 2023

Traditional BI Platforms Traditional BI platforms are centrally managed, enterprise-class platforms. Predictive, the Up but Not Coming Over time, analytics grow and level up. Diagnostic Analytics: No longer just describing. These sit on top of data warehouses that are strictly governed by IT departments.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52