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

CIO Business Intelligence

MAY 14, 2024

At the center of this shift is increasing acknowledgement that to support AI workloads and to contain costs, enterprises long-term will land on a hybrid mix of public and private cloud. Enterprises need to ensure that private corporate data does not find itself inside a public AI model,” McCarthy says.

IT 143

IT Data Processing Enterprise Modeling 143

Jedox

JANUARY 13, 2023

Finance leaders should look for these five capabilities when selecting financial planning software that will drive business value for their enterprise. Increasing efficiency in an organization’s planning, budgeting, and forecasting processes is a key component of financial planning software, according to Gartner. Data integration.

Software 52

Software Finance Forecasting Data Lake 52

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

Smart Data Collective

SEPTEMBER 13, 2021

In this article, we will show you the use of the tools and the top reasons to hire Django developers to help you with big data integration. Main Types of Big Data. It is crucial to research the field before you use big data implementation. This type of big data is used to forecast and for making the right decisions.

Big Data 113

Big Data Forecasting Cost-Benefit Machine Learning 113

Smart Data Collective

JULY 20, 2021

Big data technology is incredibly important in modern business. One of the most important applications of big data is with building relationships with customers. Every enterprise wants to improve its business relationship and productivity. It is one of the powerful big data integration tools which marketing professionals use.

Sales 141

Sales Big Data Marketing Software 141

FineReport

JULY 18, 2022

Here I list 15 excellent tools for data analysis, among which there must be the one that fits you best. FineReport is a business intelligence reporting and dashboard software that helps enterprises transform data into value. It also has a commercial version for enterprises. SAS Forecasting. FineRepor t.

Forecasting 52

Forecasting Dashboards Statistics Visualization 52

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

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

CIO Business Intelligence

AUGUST 9, 2024

As part of its plan, the IT team conducted a wide-ranging data assessment to determine who has access to what data, and each data source’s encryption needs. There are a lot of variables that determine what should go into the data lake and what will probably stay on premise,” Pruitt says.

Data Transformation 110

Data Transformation Machine Learning Data Lake Dashboards 110

O'Reilly on Data

FEBRUARY 11, 2019

The resource examples I’ll cite will be drawn from the upcoming Strata Data conference in San Francisco , where leading companies and speakers will share their learnings on the topics covered in this post. AI and machine learning in the enterprise. AI and machine learning in the enterprise. Foundational data technologies.

Big Data 212

Big Data Technology Machine Learning Deep Learning 212

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. Global Tax Management is Critical.

Finance 59

Finance Forecasting Reporting Cost-Benefit 59

Jet Global

OCTOBER 28, 2021

Deal accelerates insightsoftware’s enterprise position in operational reporting by adding market-leading data analytics and integration products including SAP and Oracle ERP reporting solutions. The company’s data integration and connectivity solutions help customers better manage distributed data sources across the enterprise.

Operational Reporting 83

Operational Reporting Finance Data-driven Reporting 83

CIO Business Intelligence

JUNE 7, 2022

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

CIO Business Intelligence

FEBRUARY 6, 2023

Executive leaders of small businesses and startups frequently lament that they lack the same access to data and insights that enterprise competitors and other more entrenched players enjoy. BI simplifies traditionally complex forecasting in the form of SaaS tools and levels the playing field for SMBs.

Business Intelligence 88

Business Intelligence Forecasting Marketing Sales 88

CIO Business Intelligence

APRIL 25, 2022

They require specific data inputs, models, algorithms and they deliver very specific recommendations. To deliver accurate, high-confidence recommendations is no easy task, so accelerators can provide helpful starting points for enterprises,” Henschen said. Recommendations also include suggestions for product development choices.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

Smart Data Collective

SEPTEMBER 21, 2021

The data can also be processed, managed and stored within the data fabric. Using data fabric also provides advanced analytics for market forecasting, product development, sale and marketing. Moreover, it is important to note that data fabric is not a one-time solution to fix data integration and management issues.

Management 108

Management Internet of Things Data Quality Data Integration 108

AWS Big Data

SEPTEMBER 11, 2024

HPE Aruba Networking , formerly known as Aruba Networks, is a Santa Clara, California-based security and networking subsidiary of Hewlett Packard Enterprise company. The data sources include 150+ files including 10-15 mandatory files per region ingested in various formats like xlxs, csv, and dat. 2 GB into the landing zone daily.

Data Architecture 89

Data Architecture Optimization Data Warehouse Metadata 89

FineReport

APRIL 26, 2023

With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth. What is Big Data? What is Big Data? Other sectors such as banking, healthcare, and education also take advantage of big data.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Jedox

SEPTEMBER 3, 2020

The room for poor assumptions and missed forecasts shrank. Build for broad and deep data integration. Old pre-crisis planning took historic company data like aggregated product sales and applied run-rates. Now planning needs direct third-party data feeds like health, policy, and socio-economic drivers.

Uncertainty 81

Uncertainty Forecasting Digital Transformation Risk 81

Smart Data Collective

NOVEMBER 24, 2020

In the future of business intelligence, it will also be more common to break data-based forecasts into actionable steps to achieve the best strategy of business development. The future of BI will also mean more integrations and collaboration. In the coming years they are more likely to become a part of enterprise solutions.

Business Intelligence 133

Business Intelligence Visualization Dashboards Prescriptive Analytics 133

Jedox

JULY 25, 2019

Budgeting, Planning & Forecasting using Excel remains one of the most commonly used methods by FP&A professionals. Can the Excel environment be enhanced and offer improved data integration, collaboration across teams, and increased overall functionality? From distributed tasks to complete collaboration.

Forecasting 40

Forecasting Digital Transformation Finance Data Integration 40

CIO Business Intelligence

NOVEMBER 21, 2023

As part of those efforts, larger enterprises often staff business relationship managers to play key roles in understanding and translating department technology needs into requirements and business cases. CIOs need a way to capture lightweight business cases or forecast business value to help prioritize new opportunities.

IT 137

IT Risk Cost-Benefit Risk Management 137

FineReport

JUNE 7, 2024

With a focus on innovation and client-centricity, FanRuan’s key features encompass dynamic visualizations, interactive dashboards , and seamless integration capabilities. Real-time Analytics : Tableau enables real-time analytics, providing instant insights into changing data trends and patterns.

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 52

Jet Global

DECEMBER 7, 2020

December 8, 2020 – insightsoftware , a global provider of enterprise software solutions for the Office of the CFO, today announced it has closed on its acquisition of IDL Group. insightsoftware is a leading provider of financial reporting and enterprise performance management software. . RALEIGH, N.C. ” About insightsoftware.

Finance 52

Finance Software Reporting 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 Metadata 52

Smarten

SEPTEMBER 17, 2019

A data discovery tool is a crucial tool for every business user in your organization. With so many sources of data, in so many locations with your enterprise, it is impossible for users to know whether they have access to complete, accurate data to make decisions.

Predictive Analytics 53

Predictive Analytics Forecasting Visualization Data Integration 53

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 44

Technology Prescriptive Analytics Machine Learning Business Intelligence 44

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

Jet Global

AUGUST 25, 2020

Corporate performance management (CPM) is one example, and it’s often used interchangeably with business performance management and enterprise performance management. Budgeting, planning, and forecasting in finance. Renewing goals or strategies based on results and incoming forecasts. Forecasting. Monitoring key metrics.

Software 96

Software Metrics Finance Key Performance Indicator 96

CDW Research Hub

MAY 28, 2021

Trends in data storage give us insight into how the storage market is changing. Data storage systems have become a mission-critical component of enterprise IT infrastructure. Organizations will need to be prepared for the next wave of the data boom by adopting storage solutions that are agile, scalable, secure and flexible.

Optimization 52

Optimization Deep Learning Enterprise Software 52

IBM Big Data Hub

APRIL 15, 2024

Data integration stands as a critical first step in constructing any artificial intelligence (AI) application. While various methods exist for starting this process, organizations accelerate the application development and deployment process through data virtualization. Why choose data virtualization?

Analytics 64

Analytics Optimization Data-driven Metrics 64

Smarten

APRIL 12, 2018

So, what is augmented data discovery, and why is it important for your enterprise? Augmented Data Discovery (aka Smart Data Discovery), takes the enterprise beyond data monitoring and helps users discover the more subtle yet crucial factors that affect business success.

Statistics 40

Statistics Forecasting Machine Learning Business Intelligence 40

CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

Ontotext

APRIL 6, 2023

It can apply automated reasoning to extract further knowledge and make new connections between different pieces of data. This model is used in various industries to enable seamless data integration, unification, analysis and sharing. The possibilities are endless!

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

CIO Business Intelligence

MAY 24, 2022

Unlocking the value of data with in-depth advanced analytics, focusing on providing drill-through business insights. Providing a platform for fact-based and actionable management reporting, algorithmic forecasting and digital dashboarding. analyse the data, using business intelligence, visualisation or data science tools.

Data-driven 98

Data-driven Data Lake Data Warehouse Cost-Benefit 98

AWS Big Data

OCTOBER 11, 2023

The data ingestion process copies the machine-readable files from the hospitals, validates the data, and keeps the validated files available for analysis. Data analysis – In this stage, the files are transformed using AWS Glue and stored in the AWS Glue Data Catalog.

Visualization 104

Visualization Dashboards Data-driven Gap analysis 104