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. It features support for creating and visualizing decision tree–driven customer interaction flows. Analytics, Data Science ERP dashboards. These systems help managers monitor performance indicators.

Data mining 144

Data mining Data-driven Statistics OLAP 144

IBM Big Data Hub

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

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. Let’s take a look at the skillsets developers need to have. Apache Spark.

Big Data 99

Big Data Software Data mining Prescriptive Analytics 99

BizAcuity

FEBRUARY 21, 2025

From Fragmented Insights to a Single Source of Truth Consider that you are struggling with inconsistent sales reporting, where the marketing team relies on Google Analytics, the sales team uses Dynamics 365, and finance works with a separate tool. Faster insights mean faster actionand in business, speed is everything.

Dashboards 52

Dashboards Optimization Finance Sales 52

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. It helps executives, managers, and employees make informed business decisions. . Free Download.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

FineReport

FEBRUARY 23, 2020

The market environment and business needs are changeable, which cannot quickly meet the changing reporting needs. You can also design Oracle databases visually, build queries in a few clicks, create and edit database objects with it. The performance of FineReport in processing and visualizing the MongoDB dataset is stunning.

Reporting 98

Reporting Prescriptive Analytics Visualization Data Warehouse 98

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 98

Data Strategy Strategy Data Warehouse Prescriptive Analytics 98

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. This approach typically focuses on descriptive analytics based on historical data to answer the question “What happened?”

Marketing 40

Marketing Business Intelligence Key Performance Indicator Prescriptive Analytics 40

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. Predictive Analytics Using External Data. Online Target Marketing.

Predictive Analytics 69

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 69

Cloudera

FEBRUARY 4, 2019

This is going to be a significant area of investment for us given our customer interest, the industry trends and the market potential. Flow Management – Adopt a no-code approach to create visual flows for building complex data ingestion / transformation with drag-and-drop ease.

IoT 73

IoT Prescriptive Analytics Internet of Things Digital Transformation 73

Sisense

SEPTEMBER 12, 2019

Most companies find themselves in the bottom left corner, in the Descriptive Analytics and Diagnostic Analytics sections. You likely already have some form of scheduled reports, are drilling down into your data, discovering what is in your data, and may even be visualizing to some extent. Share knowledge with customers?

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

Sisense

AUGUST 11, 2019

BI lets you apply chosen metrics to potentially huge, unstructured datasets, and covers querying, data mining , online analytical processing ( OLAP ), and reporting as well as business performance monitoring, predictive and prescriptive analytics. Choosing the Right Tech. If it’s all just semantics, why does this matter?

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

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

Smarten

SEPTEMBER 9, 2024

‘To fulfill the role of a Citizen Data Scientist, business users today can leverage augmented analytics solutions; that is analytics that provide simple recommendations and suggestions to help users easily choose visualization and predictive analytics techniques from within the analytical tool without the need for expert analytical skills.’

Prescriptive Analytics 52

Prescriptive Analytics Predictive Analytics Data-driven Business Intelligence 52

Birst BI

OCTOBER 30, 2018

The integration of historical data and predictive analytics is key to operationalizing predictive capabilities in large financial services organizations. Create the reports & dashboards needed to visualize the predictions. Richard specializes in dashboards, predictive, and prescriptive analytics for the modern enterprise.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

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 Sales 52

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

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. It’s also necessary to understand data cleaning and processing techniques.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Smarten

SEPTEMBER 9, 2024

Gartner defines a citizen data scientist as, ‘ a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics.’ So, let’s get started. What is a Cititzen Data Scientist? Who is a Citizen Data Scientist?

Consulting 52

Consulting Cost-Benefit Data Science Business Intelligence 52

Alation

AUGUST 26, 2021

Today, BI represents a $23 billion market and umbrella term that describes a system for data-driven decision-making. BI leverages and synthesizes data from analytics, data mining, and visualization tools to deliver quick snapshots of business health to key stakeholders, and empower those people to make better choices.

Metadata 64

Metadata Data Governance Dashboards Software 64

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

CIO Business Intelligence

APRIL 9, 2025

Maturity and better business outcomes come through active governance and data stewardship and according to IDC data-mature organizations see over three times improvement in revenue along with shorter time to market and greater profit.

Enterprise 102

Enterprise Analytics Experimentation Statistics 102

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

Smarten

MARCH 20, 2025

In 2016, the technology research firm, Gartner, coined the term Citizen Data Scientist, and defined it as a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics.

Prescriptive Analytics 64

Prescriptive Analytics Advertising Data-driven Statistics 64