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

BizAcuity

AUGUST 26, 2019

It has not only tripled in size in recent years but sources predict that it is about to rise to new heights in the coming years. Ever since the digitization of casinos, casino managers are being exposed to a great deal of data. The need for prescriptive analytics. Benefits of prescriptive analytics.

Prescriptive Analytics 40

Prescriptive Analytics Analytics Descriptive Analytics Predictive Analytics 40

Smart Data Collective

OCTOBER 13, 2021

How does Data Virtualization manage data quality requirements? Some solutions provide read and write access to any type of source and information, advanced integration, security capabilities and metadata management that help achieve virtual and high-performance Data Services in real-time, cache or batch mode. Prescriptive analytics.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS supports the management, operations, and planning levels of an organization in making better decisions by assessing the significance of uncertainties and the tradeoffs involved in making one decision over another. These systems help managers monitor performance indicators. These systems suggest or recommend actions to managers.

Data mining 144

Data mining Data-driven Statistics OLAP 144

Jedox

JANUARY 29, 2019

In today’s organizations, the role of financial controlling or FP&A is not only to provide financial insights so business partners can make better decisions, but it is also to lead the way towards a more mature use of analytics technology including predictive analytics for sales forecasting. Making AI Real (Part 2).

Predictive Analytics 41

Predictive Analytics Forecasting Sales Analytics 41

IBM Big Data Hub

SEPTEMBER 19, 2023

It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

IBM Big Data Hub

JULY 27, 2022

Figure 2 IT Service Management Complexity. Most experts consider AIOps the future of IT operations management. How could we reimagine cloud service management and operations with AI? The applications continuously send telemetry information into the operational management tooling (box 4: Continuous Operations).

Prescriptive Analytics 93

Prescriptive Analytics Descriptive Analytics Data-driven Cost-Benefit 93

FineReport

MARCH 2, 2021

Here, the ordinary users can be managers, employees, or yourself(self-service reporting). By contrast, analytics follows a pull approach , where analysts pull out the data they need to answer specific business questions. Predictive analytics (answer what will happen in the future?) Overall, Report follows a push approach.

Reporting 98

Reporting Analytics Key Performance Indicator Prescriptive Analytics 98

CIO Business Intelligence

FEBRUARY 16, 2023

My vision is that I can give the keys to my businesses to manage their data and run their data on their own, as opposed to the Data & Tech team being at the center and helping them out,” says Iyengar, director of Data & Tech at Straumann Group North America. Analytics, Artificial Intelligence, Data Management, Predictive Analytics

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

BizAcuity

MARCH 8, 2019

Human resource leaders are using workforce analytics under various forms such as predictive and prescriptive analytics. A growing number of organizations especially in the event management industry or sector are using workforce analytics to examine and act upon data about their people in the workplace.

Analytics 73

Analytics Prescriptive Analytics Cost-Benefit Metrics 73

Sisense

JUNE 30, 2020

Our BI Best Practices demystify the analytics world and empower you with actionable how-to guidance. In a world increasingly dominated by data, users of all kinds are gathering, managing, visualizing, and analyzing data in a wide variety of ways. Predictive analytics is the most beneficial, but arguably the most complex type.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

BizAcuity

MARCH 31, 2022

Not just banking and financial services, but many organizations use big data and AI to forecast revenue, exchange rates, cryptocurrencies and certain macroeconomic variables for hedging purposes and risk management. AI comes handy for managing inventory, manufacturing, production and marketing. AI in Supply chain and Logistics.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

AWS Big Data

MARCH 26, 2024

It connects to more than 70 data sources and helps you build extract, transform, and load (ETL) pipelines without having to manage pipeline infrastructure. You could also consider using Amazon Managed Streaming for Apache Kafka (Amazon MSK) for streaming events in real time. times better performance than the self-managed version.

Data Strategy 98

Data Strategy Strategy Data Warehouse Prescriptive Analytics 98

Jedox

JULY 31, 2018

We also took a first look at how fp&a and business intelligence professionals can start to derive tangible value from these technologies for Enterprise Performance Management. 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

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. Or is Business Intelligence One Part of Business Analytics?

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

Sisense

SEPTEMBER 12, 2019

With a goal of getting to the end of the chart with predictive and prescriptive analytics, you can ask questions like: Are we going to hit our targets by the end of the year? Spend some time on this with your team members, stakeholders, and management and go over all the scenarios. Do you want to be more efficient?

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

Sisense

OCTOBER 27, 2020

Strategic analytics. Predictive analytics are the next step in your HR analytics journey. However, in order to truly digitally evolve, every company needs to start infusing data and analytics throughout the organization to streamline processes and decision-making. Executives have similar needs around data.

People Analytics 74

People Analytics Analytics Cost-Benefit Key Performance Indicator 74

Domino Data Lab

JUNE 2, 2019

Many enterprise organizations with sophisticated data practices place those kinds of decisions on data science team leads rather than the executives or product managers. OSCON , Jul 15-18 in Portland: CFP is open for the “ML Ops: Managing the end-to-end ML lifecycle” track that I’ll be hosting on Jul 16. spaCy IRL , Jul 5-6, Berlin.

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

Smarten

APRIL 11, 2018

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.’ Works well with technical and management teams.

Analytics 40

Analytics Prescriptive Analytics Business Intelligence ROI 40

Alation

MARCH 21, 2023

For example, airlines have historically applied analytics to revenue management, while successful hospitality leaders make data-driven decisions around property allocation and workforce management. Data access management Both data privacy and security require an organization to have appropriate data access controls in place.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

FineReport

APRIL 26, 2023

Big Data Tools are essential in managing and processing large data sets. The Big Data ecosystem is rapidly evolving, offering various analytical approaches to support different functions within a business. .” ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards.

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. An e-commerce conglomeration uses predictive analytics in its recommendation engine.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

FineReport

MARCH 24, 2024

These professionals collaborate with IT teams, management, or data scientists to align analytical efforts with organizational objectives across various industries. Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios.

Statistics 52

Statistics Data mining Visualization Sales 52

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

Andrew White

JANUARY 11, 2021

How do you think Technology Business Management plays into this strategy? What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer? Value Management or monetization. Risk Management (most likely within context of governance). Product Management. Governance. Architecture.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Smarten

JUNE 2, 2017

From reporting to visualised dashboard to predictive analytics. We know that by designing self-learning programs, we are in a position to provide prescriptive analytics. Some prescriptive analytics based on known parameters were always a part of ERP or BI offering. This was early predictive or was it?

Business Intelligence 40

Business Intelligence Visualization Prescriptive Analytics Predictive Analytics 40

Jet Global

MAY 1, 2023

They migrated to embedded analytics, and it changed their world. Now, Delta managers can get a full understanding of their data for compliance purposes. Internal Apps Any organization that develops or deploys a software application often has a need to embed analytics inside its application.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

CIO Business Intelligence

DECEMBER 19, 2024

As organizations struggle with the increasing volume, velocity, and complexity of data, having a comprehensive analytics and BI platform offers real solutions that address key challenges, such as data management and governance, predictive and prescriptive analytics, and democratization of insights.

Sales 122

Sales Analytics Key Performance Indicator Prescriptive Analytics 122

CIO Business Intelligence

MAY 5, 2025

CIOs are well positioned to take up that charge, marshalling their tech-centric, business orientation to sketch out roadmaps, define deployment plans, and orchestrate change management strategies designed to drive success in what could be a make-or-break AI moment. To date, the firm has achieved milestones in each of these areas.

Digital Transformation 107

Digital Transformation Experimentation Strategy Prescriptive Analytics 107

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 62

Prescriptive Analytics Advertising Data-driven Statistics 62

CIO Business Intelligence

MAY 6, 2025

Predictive analytics: Turning insight into foresight Predictive analytics uses historical data and statistical models or machine learning algorithms to answer the question, What is likely to happen? This is where analytics begins to proactively impact decision-making. Its a symptom of needing one.

Prescriptive Analytics 78

Prescriptive Analytics Predictive Analytics Descriptive Analytics ROI 78