Cloudera

AUGUST 25, 2020

One of the key takeaways from recent times that should be considered into the future, is that banks need to rethink how they look at tail risk or extreme events that rarely happen. . This is critically important for predicting risk exposures. Prescriptive analytics provides decision-makers with thousands of potential future scenarios.

Prescriptive Analytics 71

Prescriptive Analytics Technology Machine Learning Risk 71

IBM Big Data Hub

JANUARY 25, 2024

Considering that IDC surveyed 37% of companies that manage spare parts inventory by using spreadsheets, email, shared folders or an uncertain approach, it becomes evident that this practice carries more risk than it might seem. 2 Unless your demand forecasting is accurate, adopting a reactive approach might prove less efficient.

Optimization 75

Optimization Cost-Benefit Prescriptive Analytics Manufacturing 75

Rocket-Powered Data Science

JULY 14, 2023

Non-disruptive infrastructure upgrades allow for storage device firmware updates, expansion, and failover from unexpected infrastructure incidents, while keeping the data pipelines and low-latency analytics product applications running smoothly and continuously. These may not be high risk.

Analytics 166

Analytics Internet of Things Prescriptive Analytics Data Science 166

CIO Business Intelligence

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. In business, predictive analytics uses machine learning, business rules, and algorithms.

Data Analytics 123

Data Analytics Diagnostic Analytics Management Analytics 123

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.’ Competitive Changes. Select the Target and Predictor Variables. Apply Data Filters.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. 85% of AI (marketing) projects fail due to risk, confusion, and lack of upskilling among marketing teams.(Source: You must be tired of continuously hearing quotes like, ‘data is the new oil’ and what not. Source: PwC).

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

AWS Big Data

MARCH 26, 2024

We structure it in five pillars that power C360: data collection, unification, analytics, activation, and data governance, along with a solution architecture that you can use for your implementation. AWS Data Exchange makes it straightforward to find, subscribe to, and use third-party data for analytics.

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

With this capability, not only can data-driven companies operationalize data science models on any cloud while instilling trust in AI outcomes, but they are also in a position to improve the ability to manage and govern the AI lifecycle to optimize business decisions with prescriptive analytics. The solution is a data fabric.

Data-driven 56

Data-driven Enterprise Data Governance Prescriptive Analytics 56

Cloudera

MARCH 2, 2018

Applying data analytics and machine learning to large raw datasets will likely also yield us new and unexpected insights as these techniques and tools allow us to unearth patterns and seek potential explanations for those in contrast to responding to a predefined set of questions. In many settings this is the best information available.

Data-driven 43

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 43

Alation

MARCH 21, 2023

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

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.

Prescriptive Analytics 52

Prescriptive Analytics Digital Transformation Data-driven Machine Learning 52

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. This post will dive deeper into the nuances of each field. What is data science? Data science is a broad, multidisciplinary field that extracts value from today’s massive data sets.

Machine Learning 55

Machine Learning Data Science Statistics Deep Learning 55

Sisense

JUNE 30, 2020

When BI and analytics users want to see analytics results, and learn from them quickly, they rely on data visualizations. Visua l analytics does the “heavy lifting” with data, by using a variety of processes — mechanical, algorithms, machine learning , natural language processing, etc — to identify and reveal patterns and trends.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Birst BI

OCTOBER 30, 2018

Every day, these companies pose questions such as: Will this new client provide a good return on investment, relative to the potential risk? Is this existing client a termination risk? An analytics alternative that goes beyond descriptive analytics is called “Predictive Analytics.”.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Cloudera

JULY 18, 2018

The combined solution is the right starting point for introducing machine learning and AI into clinical workflow and care delivery, enabling enterprises to take advantage of complete descriptive, predictive, and prescriptive analytic capabilities. The practice of medicine is not only a science, it is also an art.

Machine Learning 51

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 51

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

FineReport

APRIL 26, 2023

The Big Data ecosystem is rapidly evolving, offering various analytical approaches to support different functions within a business. Descriptive Analytics is used to determine “what happened and why.” ” 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

Alation

AUGUST 26, 2021

Privacy, Risk and Compliance. Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” These questions are: Who is using what data? Why do we have data?

Metadata 64

Metadata Data Governance Dashboards Software 64

Domino Data Lab

JUNE 2, 2019

Trying to dissect a model to divine an interpretation of its results is a good way to throw away much of the crucial information – especially about non-automated inputs and decisions going into our workflows – that will be required to mitigate existential risk. Leadership. First item on our checklist: did Rev 2 address how to lead data teams?

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Andrew White

JANUARY 11, 2021

It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. The fill report is here: Leadership Vision for 2021: Data and Analytics. Some data is more a risk than valuable. ex : we help you to improve your performances ! ?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. It will show you what embedded analytics are and how they can help your company. We hope this guide will transform how you build value for your products with embedded analytics. that gathers data from many sources.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52