Rocket-Powered Data Science

MARCH 19, 2021

But more significant has been the acceleration in the number of dynamic, real-time data sources and corresponding dynamic, real-time analytics applications. We no longer should worry about “managing data at the speed of business,” but worry more about “managing business at the speed of data.”.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

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 80

Optimization Cost-Benefit Prescriptive Analytics Manufacturing 80

CIO Business Intelligence

MAY 28, 2022

Other skills with fast-rising premiums included WebSphere MQ, Apache Ant, Azure Cosmos DB, DataRobot enterprise AI platform, Tibco BusinessWorks, RedHat OpenShift, Microsoft’s System Center Virtual Machine Manager and SharePoint Server, mobile operating systems, and a clutch of SAP technologies.

IT 126

IT Prescriptive Analytics Deep Learning Reporting 126

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. Prescriptive analytics provides decision-makers with thousands of potential future scenarios.

Prescriptive Analytics 71

Prescriptive Analytics Technology Machine Learning Risk 71

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 186

Data-driven Enterprise Analytics Machine Learning 186

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

CIO Business Intelligence

MAY 26, 2022

Other skills with fast-rising premiums included WebSphere MQ, Apache Ant, Azure Cosmos DB, DataRobot enterprise AI platform, Tibco BusinessWorks, RedHat OpenShift, Microsoft’s System Center Virtual Machine Manager and SharePoint Server, mobile operating systems, and a clutch of SAP technologies.

IT 98

IT Prescriptive Analytics Deep Learning Reporting 98

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

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? It’s simple!

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Prescriptive 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. Fraud Mitigation. Demand Planning.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

Smarten

FEBRUARY 16, 2023

Gartner says that a Citizen Data Scientist is “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.” This term has been around for some time and was popularized by Gartner.

Prescriptive Analytics 52

Prescriptive Analytics Statistics Consulting Metrics 52

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 Digital Transformation 105

Smarten

JANUARY 18, 2023

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.’

Key Performance Indicator 52

Key Performance Indicator Prescriptive Analytics Business Objectives Measurement 52

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 43

Technology Prescriptive Analytics Machine Learning Business Intelligence 43

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

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

FineReport

JULY 28, 2021

It helps executives, managers, and employees make informed business decisions. . Data science generally refers to all the knowledge, techniques, and methods used for data analysis, while data analytics is the manner of analyzing massive data. Difference between Business Intelligence vs. Data Science.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

Smarten

JUNE 2, 2017

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. So let us look at what entails BI now and what it will include in future.

Business Intelligence 40

Business Intelligence Visualization Prescriptive Analytics Predictive Analytics 40

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 59

Machine Learning Data Science Statistics Deep Learning 59

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

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

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? Confused yet?

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

Sisense

JULY 22, 2020

She began her career as a software engineering manager at NASA, worked at Oracle, Amazon, and elsewhere before moving to Alteryx, serving as senior vice president of product. Ashley Kramer is our new chief product and marketing officer.

Prescriptive Analytics 52

Prescriptive Analytics Dashboards Statistics Data-driven 52

Rocket-Powered Data Science

JULY 14, 2023

Low-latency data delivery is a system level requirement that is tied to a critical business user requirement: low-latency analytics product delivery ! Along with the massive growth in sensor data (including location-based and time-based streaming data), there have emerged some special analytics categories that are growing in significance.

Analytics 165

Analytics Internet of Things Prescriptive Analytics Data Science 165

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 66

Data Strategy Strategy Data Warehouse Prescriptive Analytics 66

AWS Big Data

FEBRUARY 20, 2024

Familiarity with the AWS Management Console. An AWS account and access to the following AWS services: AWS Glue AWS Identity and Access Management (IAM) Amazon Redshift Amazon S3 Amazon Data Firehose Kinesis Data Generator setup: For Kinesis Data Generator setup instructions, refer to this blog. An S3 bucket.

IoT 90

IoT Analytics Prescriptive Analytics Internet of Things 90

Smarten

NOVEMBER 26, 2023

You may be interested to know that TechJury reports seven out of ten businesses rate data discovery as very important, and that the top three business intelligence trends are data visualization, data quality management and self-service business intelligence.

Marketing 40

Marketing Business Intelligence Key Performance Indicator Prescriptive Analytics 40

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 57

Data-driven Enterprise Data Governance Prescriptive Analytics 57

FineReport

FEBRUARY 23, 2020

Database reporting tools rely on connections to a relational database management system via JDBC, JNDI or ODBC. Lack of unified reports management portal to form a global data perspective. This tool allows synchronizing data between different Oracle servers and automating the schema change management process during development.

Reporting 98

Reporting Prescriptive Analytics Visualization Data Warehouse 98

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

BizAcuity

MARCH 8, 2019

Human resource leaders are using workforce analytics under various forms such as predictive and prescriptive analytics. Workforce analytics is helping Human Resource leaders in determining the capabilities of the people or employees such as which tasks best suits them, how to ensure they remain satisfied with or in their roles.

Analytics 73

Analytics Prescriptive Analytics Cost-Benefit Metrics 73

Cloudera

FEBRUARY 4, 2019

With the rise of streaming architectures and digital transformation initiatives everywhere, enterprises are struggling to find comprehensive tools for data management to handle high volumes of high-velocity streaming data. CDF can do this within a common framework that offers unified security, governance and management.

IoT 74

IoT Prescriptive Analytics Digital Transformation Internet of Things 74

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

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

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-driven 110

Data-driven Data Science Machine Learning Modeling 110