Cloudera

MARCH 18, 2021

A single, enterprise-wide platform or coordinated approach for storing and maintaining data can facilitate alignment between the front office, risk management, and finance, setting the stage for a more seamless transition.

Risk 55

Risk Machine Learning Risk Management Measurement 55

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. Enterprise Artificial Intelligence.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

IBM Big Data Hub

JUNE 29, 2023

Data integration and analytics IBP relies on the integration of data from different sources and systems. This may involve consolidating data from enterprise resource planning (ERP) systems, customer relationship management (CRM) systems, supply chain management systems, and other relevant sources.

Key Performance Indicator 80

Key Performance Indicator Forecasting Data Integration Sales 80

Cloudera

SEPTEMBER 7, 2023

Trusted AI is the ethos behind Enterprise AI across the organization, including Generative AI and LLM capabilities. The hybrid platform’s automation capabilities are crucial in this stage, allowing for more rapid adaptation and richer analytics. Push predictive analytics to optimize operations and enhance profitability.

Insurance 81

Insurance Risk Data-driven Finance 81

IBM Big Data Hub

MAY 17, 2024

As these innovations are dynamically reshaping the commerce journey, it is crucial for leaders to anticipate and future-proof their enterprises to embrace the new paradigm.  Recent advancements in artificial intelligence (AI) are transforming commerce at an exponential pace.

B2B 67

B2B Interactive Optimization Forecasting 67

datapine

MARCH 31, 2022

It allows its users to extract actionable insights from their data in real-time with the help of predictive analytics and artificial intelligence technologies. Like this, data scientists, engineers, managers, and other users, can access data from multiple sources and perform advanced analysis to extract relevant insights from it.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

CIO Business Intelligence

JANUARY 26, 2023

In many cases, cloud cost managers are part of a larger suite designed to not just watch the bottom line but also enforce other rules such as security. Some tools for surveying enterprise architectures or managing software governance now track costs at the same time. Currently available for AWS and Azure.

Management 113

Management Forecasting Dashboards Optimization 113

Corinium

APRIL 25, 2019

It’s important to have a competency in place for understanding how to mitigate those risks without getting in the way of this innovation. Why should Chief Data & Analytics Officers care about data security? In reality, this decision, like any decision regarding data usage, is based on balancing business risk and reward.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Cloudera

JUNE 23, 2021

Climate change can also impact the insurance carrier as an enterprise itself—similarly to cyber risks, insurers underwrite cyber risks for their customers, as well as manage their own risks and exposure as a company. Data and Analytics Can Help .

Insurance 52

Insurance Risk Modeling Risk Management 52

Cloudera

JANUARY 22, 2019

Big Data Fabric has emerged in response to modern data ecosystem challenges facing today’s enterprises. It enables processing, management, analysis, and storage of virtually any amount of data from a multitude of sources, as well as access to these data by applications and tools employing a variety of interfaces. High-value Analytics.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

FineReport

MARCH 24, 2024

Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue. Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making. JPMorgan Chase & Co.:

Statistics 52

Statistics Data mining Visualization Reporting 52

Andrew White

JANUARY 11, 2021

What is your vision for D&A for small and medium enterprises? We have specific research for midsize and small enterprises. See 3 Questions That Midsize Enterprises Should Ask About Data and Analytics and have an inquiry with Alan Duncan. CDO Success Factors: Culture Hacks to Create a Data-Driven Enterprise.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52