IBM Big Data Hub

JANUARY 25, 2024

Many managers in asset-intensive industries like energy, utilities or process manufacturing, perform a delicate high-wire act when managing inventory. Over time, inventory managers have tested different approaches to determine the best fit for their organizations. What’s at stake? Now, consider the just-in-case approach.

Optimization 75

Optimization Cost-Benefit Prescriptive Analytics Manufacturing 75

Rocket-Powered Data Science

JULY 19, 2023

Accompanying the massive growth in sensor data (from ubiquitous IoT devices, including location-based and time-based streaming data), there have emerged some special analytics products that are growing in significance, especially in the context of innovation and insights discovery from on-prem enterprise data sources.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

Cloudera

AUGUST 25, 2020

In part II of the series, we sat down for an interview with Dr. Richard Harmon, Managing Director of Financial Services at Cloudera, to find out more about how the industry is adopting new technology. This is critically important for predicting risk exposures. Evaluating anomalies and unpredicted events like pandemics and ESG concerns.

Prescriptive Analytics 71

Prescriptive Analytics Technology Machine Learning Risk 71

BizAcuity

MARCH 31, 2022

85% of AI (marketing) projects fail due to risk, confusion, and lack of upskilling among marketing teams.(Source: 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.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

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.’ Predictive Analytics Using External Data. Maintenance Management. Competitive Changes. Market Changes.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

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 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

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 Reporting 52

IBM Big Data Hub

JANUARY 17, 2023

The data governance capability of a data fabric focuses on the collection, management and automation of an organization’s data. The challenge, of course, is the added complexity of data management that hinders the actual use of that data for better decisions, analysis and AI. Data governance. Start a trial. AI governance.

Data-driven 56

Data-driven Enterprise Data Governance Prescriptive Analytics 56

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. What’s more, many companies struggle with rigid legacy technologies that increase the risk of a data breach.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

DataRobot Blog

MARCH 15, 2022

Integrating and aligning data across organizations (acute, primary, mental health, social care, and third sector) can be challenging, but is essential to enable forward-looking population health management, strengthen risk stratification, and support the redesign of care pathways. Action to Take.

Prescriptive Analytics 52

Prescriptive Analytics Digital Transformation Data-driven Machine Learning 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. .” “Data science” was first used as an independent discipline in 2001.

Machine Learning 55

Machine Learning Data Science Statistics Deep Learning 55

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. Broadly, there are three types of analytics: descriptive , prescriptive , and predictive.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Jedox

JANUARY 29, 2019

Fifty percent of global fp&a teams are looking to implement predictive analytics by 2020*, and seventy-two percent rate “Predictive Forecasting and Planning” as either “very important or “important” for their company**. Predictive Analytics for Sales Forecasting. Addressing the Trust Question in Predictive Analytics.

Predictive Analytics 41

Predictive Analytics Forecasting Sales Analytics 41

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. 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

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. Clearly in these situations, becoming model-driven addresses an existential risk and that’s the point Nick Elprin made in his keynote. Because of compliance.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Alation

AUGUST 26, 2021

Privacy, Risk and Compliance. Processing metadata: Describes transformations and derivations applied as data is managed through its lifecycle. In this way, active metadata fuels data intelligence within an enterprise and supports better data management. It relies on data intelligence software to be managed and optimized.

Metadata 64

Metadata Data Governance Dashboards Software 64

Andrew White

JANUARY 11, 2021

How do you think Technology Business Management plays into this strategy? Some data is more a risk than valuable. 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).

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

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