CIO Business Intelligence

MARCH 19, 2025

However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive. Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams.

IT 59

IT Data Governance Data-driven Metrics 59

IBM Big Data Hub

APRIL 19, 2023

Through the formation of this group, the Assessment Services division discovered multiple enterprise resource planning instances and payroll systems, a lack of standard reporting, and siloed budgeting and forecasting processes residing within a labyrinth of spreadsheets. It was chaotic.

Technology 81

Technology Forecasting Data Warehouse Reporting 81

IBM Big Data Hub

SEPTEMBER 6, 2023

Obsolete data and financial projections A budget, at its core, is a financial forecast. Unanticipated risks Good budgeting plans for risks. Using an old budget can result in inadequate hedging strategies, poor financial decisions, exposure to unfavorable currency fluctuations or misjudged credit risks.

Forecasting 82

Forecasting Marketing Sales Risk 82

CIO Business Intelligence

NOVEMBER 21, 2023

Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. That’s not to downplay the inherent risks of shadow IT. There may be times when department-specific data needs and tools are required.

IT 137

IT Risk Cost-Benefit Data Science 137

CIO Business Intelligence

MARCH 21, 2022

Financial institutions are operating in a complex, data-hungry environment. Unfortunately, they have fallen behind when it comes to automation and data integration practices, despite industry-wide recognition of the merits associated with an effective data strategy,” said Wayne Johnson , CEO & Founder of Encompass.

Data-driven 116

Data-driven IT Finance Forecasting 116

Jet Global

JANUARY 4, 2021

Planners began to integrate functional and departmental plans into their own forecasts. As volatility in pricing, sales, and trade flows spiked around the world, financial planners bore witness to their forecasts going out of date at an alarming pace. Speed was one of the main qualities tested. Why choose Tidemark?

Forecasting 98

Forecasting Finance Testing Sales 98

IBM Big Data Hub

JUNE 29, 2023

Integrated planning incorporates supply chain planning, demand planning, and demand forecasts so the company can quickly assess the impact on inventory levels, supply chain logistics, production plans, and customer service capacity. Data integration and analytics IBP relies on the integration of data from different sources and systems.

Key Performance Indicator 76

Key Performance Indicator Forecasting Sales Data Integration 76

Jedox

SEPTEMBER 3, 2020

The new normal introduced new risks from employee health and safety, supply chain stress and government mandates – all with working capital implications. The room for poor assumptions and missed forecasts shrank. Build for broad and deep data integration. This placed an acute spotlight on planning agility.

Uncertainty 81

Uncertainty Forecasting Digital Transformation Risk 81

BizAcuity

NOVEMBER 13, 2024

The Significance of Data-Driven Decision-Making In sectors ranging from healthcare to finance, data-driven decision-making has become a strategic asset. Making decisions based on data, rather than intuition alone, brings benefits such as increased accuracy, reduced risks, and deeper customer insights.

Consulting 52

Consulting Data-driven Cost-Benefit Business Intelligence 52

CIO Business Intelligence

JUNE 7, 2022

Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance. Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

CIO Business Intelligence

MAY 14, 2024

Controlling escalating cloud and AI costs and preventing data leakage are the top reasons why enterprises are eying hybrid infrastructure as their target AI solution. IDC forecasts that global spending on private, dedicated cloud services — which includes hosted private cloud and dedicated cloud infrastructure as a service — will hit $20.4

IT 143

IT Data Processing Enterprise Modeling 143

erwin

APRIL 29, 2020

Many large organizations, in their desire to modernize with technology, have acquired several different systems with various data entry points and transformation rules for data as it moves into and across the organization. For example, the marketing department uses demographics and customer behavior to forecast sales.

Key Performance Indicator 111

Key Performance Indicator Metadata Data Governance Data Quality 111

Smart Data Collective

FEBRUARY 14, 2023

Video game data analytics involves the collection and gameplay analytics that allows one to understand the game’s problems and make a forecast of its development. Data integrity control. Obviously it’s impossible to do without a game data analyst.

Big Data 134

Big Data Data Analytics Analytics Testing 134

Smarten

OCTOBER 10, 2023

Gartner defines Data and Analytics (D&A) as, ‘…the ways organizations manage data to support all its uses, and analyze data to improve decisions, business processes and outcomes, such as discovering new business risks, challenges and opportunities.’

Reporting 69

Reporting Analytics Forecasting Data Integration 69

Smart Data Collective

SEPTEMBER 25, 2019

However, according to a 2018 North American report published by Shred-It, the majority of business leaders believe data breach risks are higher when people work remotely. Whether you work remotely all the time or just occasionally, data encryption helps you stop information from falling into the wrong hands.

Technology 102

Technology Statistics Strategy Insurance 102

Smarten

SEPTEMBER 28, 2022

Plan and forecast accurately.’. Predictive Analytics utilizes various techniques including association, correlation, clustering, regression, classification, forecasting and other statistical techniques. Businesses must control quality or risk losing customers and market share and exposing the enterprise to legal risk and liability.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

Ontotext

APRIL 6, 2023

This model is used in various industries to enable seamless data integration, unification, analysis and sharing. More and more companies are using them to improve a variety of tasks from product range specification and risk analysis to supporting self-driving cars.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Smarten

JUNE 8, 2022

If a business wishes to optimize inventory, production and supply, it must have a comprehensive demand planning process; one that can forecast for customer segment growth, seasonality, planned product discounting or sales, bundling of products, etc.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

Cloudera

SEPTEMBER 7, 2023

But it’s also fraught with risk. This June, for example, the European Union (EU) passed the world’s first regulatory framework for AI, the AI Act , which categorizes AI applications into “banned practices,” “high-risk systems,” and “other AI systems,” with stringent assessment requirements for “high-risk” AI systems.

Insurance 83

Insurance Risk Data-driven Finance 83

AWS Big Data

OCTOBER 11, 2023

This is due to the complexity of the JSON structure, contracts, and the risk evaluation process on the payor side. Due to this low complexity, the solution uses AWS serverless services to ingest the data, transform it, and make it available for analytics. Then you can use Amazon Athena V3 to query the tables in the Data Catalog.

Visualization 116

Visualization Dashboards Data-driven Gap analysis 116

Jet Global

JULY 14, 2020

Financial forecasting and modeling represent key functions of FP&A. Emailing different spreadsheet versions back and forth makes it hard to ensure data integrity. Real-time data in a cloud-based system keeps everyone on your finance team and in your organization up to date. They’re risky. They’re time-consuming.

Modeling 97

Modeling Finance Strategy Cost-Benefit 97

DataKitchen

DECEMBER 9, 2022

In addition to monitoring the performance of data-related systems, DataOps observability also involves the use of analytics and machine learning to gain insights into the behavior and trends of data. One of the key benefits of DataOps automation is the ability to speed up the development and deployment of data-driven solutions.

Machine Learning 130

Machine Learning Data-driven Optimization Data Analytics 130

Jet Global

MAY 31, 2023

Pillar Two requirements, improving financial planning with consistent, correct tax payments and reliable tax forecasting. Inconsistent data integrity leads to errors in tax reporting and forecasting, which can result in enormous financial and legal costs for organizations. “We

Finance 59

Finance Forecasting Reporting Cost-Benefit 59

IBM Big Data Hub

OCTOBER 30, 2023

Real-time data analytics helps in quick decision-making, while advanced forecasting algorithms predict product demand across diverse locations. AWS’s scalable infrastructure allows for rapid, large-scale implementation, ensuring agility and data security.

Insurance 77

Insurance Data Warehouse Data-driven Unstructured Data 77

Jet Global

MAY 16, 2023

By connecting solutions across the insightsoftware portfolio, organizations can now choose the capabilities they need for effective reporting, controllership, and budgeting and planning, while improving productivity, user experience, and reducing implementation risk. Good things happen when you’re well connected.

Uncertainty 52

Uncertainty Finance Reporting Cost-Benefit 52

Jedox

MARCH 5, 2020

With a modern EPM solution, several different data points are integrated and consolidated – including automated verification of data integrity. New data points can be added from different sources at any time, so the database is always up to date. Old versions of outdated software are always lurking around.

Data-driven 52

Data-driven Software Manufacturing Forecasting 52

Octopai

JUNE 9, 2024

They invested heavily in data infrastructure and hired a talented team of data scientists and analysts. The goal was to develop sophisticated data products, such as predictive analytics models to forecast patient needs, patient care optimization tools, and operational efficiency dashboards.

IT 52

IT Data-driven Predictive Analytics Data Strategy 52

Jedox

APRIL 23, 2020

This includes encompassing territory planning, quota planning, calculation of sales compensation, publishing commission statements, sales forecasting, commission accruals, management reports and analytics. Fixed Data Model. Rigid Data Integration. Key Challenges with Current SPM Solutions.

Sales 52

Sales Management B2B Dashboards 52

Anmut

SEPTEMBER 5, 2024

Texas winter storm (ERCOT energy demand forecasts) Issue : In February 2021, a severe winter storm hit Texas, causing widespread power outages managed by the Electric Reliability Council of Texas (ERCOT). Relevance – the data is pertinent to the decision at hand.

IT 52

IT Forecasting Machine Learning Reporting 52

Smarten

APRIL 2, 2019

Business markets and competition are moving much more quickly these days and predicting, planning and forecasting is more important than ever. Original Post: What Are the Necessary Components of an Advanced Analytics Solution?

Analytics 40

Analytics Predictive Modeling Visualization Predictive Analytics 40

IBM Big Data Hub

OCTOBER 12, 2023

Security and privacy —When all data scientists and AI models are given access to data through a single point of entry, data integrity and security are improved. They can also spot and root out bias and drift proactively by monitoring, cataloging and governing their models. Learn more about IBM watsonx 1.

Cost-Benefit 76

Cost-Benefit Metadata Data Governance Modeling 76

FineReport

APRIL 9, 2024

Healthcare data governance plays a pivotal role in ensuring the secure handling of patient data while complying with stringent regulations. The implementation of robust healthcare data management strategies is imperative to mitigate the risks associated with data breaches and non-compliance.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

CDW Research Hub

MAY 28, 2021

As we move forward, hybrid cloud continues to be the data storage strategy that helps organizations gain cost-effectiveness and increase data mobility between on-premises, public cloud and private cloud without compromising data integrity. They also reduce the time to process data to determine the value of that data.

Optimization 52

Optimization Deep Learning Enterprise Software 52

Jedox

JULY 23, 2020

By linking procurement, order, personnel and capacity planning data, managers can access current and precise figures to make informed decisions. For seamless data integration and connection of all upstream systems, a modern software solution that can be flexibly adapted to the requirements of the respective organization is recommended.

Management 52

Management Cost-Benefit Risk Reporting 52

FineReport

APRIL 9, 2024

Moreover, BI platforms provide the means for organizations to harness their data assets effectively, leading to improved customer satisfaction through personalized services and targeted marketing initiatives. In addition to these advancements, another prominent trend in data analysis is the growing impact of data visualization.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

IBM Big Data Hub

OCTOBER 20, 2023

These factors are also important in identifying the AI platform that can be most effectively integrated to align with your business objectives. Enhanced security Open source packages are frequently used by data scientists, application developers and data engineers, but they can pose a security risk to companies.

Machine Learning 71

Machine Learning Manufacturing Deep Learning Cost-Benefit 71

AWS Big Data

MARCH 26, 2024

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Enrichment typically involves adding demographic, behavioral, and geolocation data.

Data Strategy 84

Data Strategy Strategy Data Warehouse Prescriptive Analytics 84