CIO Business Intelligence

JUNE 7, 2022

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning.

Data Analytics 132

Data Analytics Diagnostic Analytics Management Analytics 132

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. Forecasting. Online Target Marketing. Competitive Changes. Trends and Patterns.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

Smarten

APRIL 10, 2023

Leverage Enterprise Investments for Predictive Analytics and Gain Numerous Advantages! Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Why the focus on predictive analytics?

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Prescriptive Analytics 52

CIO Business Intelligence

NOVEMBER 14, 2022

Digital marketing and services firm Clearlink uses a DSS system to help its managers pinpoint which agents need extra help. Decision intelligence seeks to update and reinvent decision support systems with a sophisticated mix of tools including artificial intelligence (AI) and machine learning (ML) to help automate decision-making.

Data mining 135

Data mining Data-driven Statistics OLAP 135

BizAcuity

MARCH 31, 2022

By 2025, AI will be the top category driving infrastructure decisions, due to the maturation of the AI market, resulting in a tenfold growth in compute requirements. 85% of AI (marketing) projects fail due to risk, confusion, and lack of upskilling among marketing teams.(Source: AI in Marketing. Source: Gartner Research).

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

CIO Business Intelligence

FEBRUARY 16, 2023

Now, the team’s information architects, in conjunction with business analysts, are working on the semantic layer, which feeds data from data warehouses and data lakes into data marts, including a finance mart, sales mart, supply chain mart, and market mart. We have a learning curve at our end to build the right skill set within us.”

Unstructured Data 104

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 104

Smart Data Collective

NOVEMBER 24, 2020

The market for business intelligence services is expected to reach $33.5 Prescriptive Analytics. In the future of business intelligence, it will also be more common to break data-based forecasts into actionable steps to achieve the best strategy of business development. billion by 2025. Business Intelligence-as-a-Service.

Business Intelligence 130

Business Intelligence Visualization Dashboards Prescriptive Analytics 130

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. Gartner estimates a retail IT spend forecast of $210.9

Big Data 74

Big Data Software Data mining Prescriptive Analytics 74

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

AWS Big Data

MARCH 26, 2024

For example, you can use C360 to segment and create marketing campaigns that are more likely to resonate with specific groups of customers. faster time to market, and 19.1% AWS Data Exchange makes it straightforward to find, subscribe to, and use third-party data for analytics. Organizations using C360 achieved 43.9%

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Alation

MARCH 21, 2023

With data analytics , travel organizations can gain real-time insights about customers to make strategic decisions and improve their travel experience. For example, if an airline needs to cancel a flight, it can leverage data analytics to notify customers of the change and help them adjust their travel plans.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 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. Achieve best possible outcomes for individuals through the application of prescriptive analytics.

Data-driven 43

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 43

FineReport

APRIL 26, 2023

Market Insight : Analyzing big data can help businesses understand market demand and customer behavior. E-commerce giants like Alibaba and Amazon extensively use big data to understand the market. Prescriptive Analytics provides precise recommendations to respond to the query, “What should I do if ‘x’ occurs?”

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Jet Global

MAY 1, 2023

Section 2: Embedded Analytics: No Longer a Want but a Need Section 3: How to be Successful with Embedded Analytics Section 4: Embedded Analytics: Build versus Buy Section 5: Evaluating an Embedded Analytics Solution Section 6: Go-to-Market Best Practices Section 7: The Future of Embedded Analytics Section 1: What are Embedded Analytics?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Andrew White

JANUARY 11, 2021

How does CDO overlap with Market Research functions? I suspect some of our analysts who cover market research would have insight here. For example, it is possible the CDO is the head of Marketing. So, a market research function can be supported by a CDO however the organization is structured.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52