O'Reilly on Data

MAY 21, 2019

I will highlight the results of a recent survey on machine learning adoption, and along the way describe recent trends in data and machine learning (ML) within companies. This is a good time to assess enterprise activities, as there are many indications a number of companies are already beginning to use machine learning.

Machine Learning 279

Machine Learning Technology Deep Learning Data Science 279

David Menninger's Analyst Perspectives

OCTOBER 30, 2024

Supply chain management is also an area where ISG Research finds a high propensity for enterprises to spend on AI, coming in second behind sales performance management in terms of an average acceptable price per seat increase. The quality, quantity and ease of use of the data needed to train models is a determining factor.

Management 130

Management IT Sales Manufacturing 130

datapine

NOVEMBER 27, 2019

The development of business intelligence to analyze and extract value from the countless sources of data that we gather at a high scale, brought alongside a bunch of errors and low-quality reports: the disparity of data sources and data types added some more complexity to the data integration process.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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 131

Big Data Forecasting Cost-Benefit Machine Learning 131

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.

Big Data 142

Big Data Sales Marketing Software 142

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

Jet Global

NOVEMBER 2, 2021

This applies to collaborative planning, budgeting, and forecasting, which, without the right tools, can be daunting on its best day. What can hold you back from working smarter is often times the risk of integrating better tools that, although promise improvements, run the risk of throwing off your whole process through its implementation.

Forecasting 52

Forecasting Cost-Benefit Risk Reporting 52

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 131

Management Internet of Things Data Quality Data Integration 131

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

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 134

Business Intelligence Visualization Dashboards Prescriptive Analytics 134

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

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

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

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

DataRobot

JANUARY 20, 2022

The UK’s National Health Service (NHS) will be legally organized into Integrated Care Systems from April 1, 2022, and this convergence sets a mandate for an acceleration of data integration, intelligence creation, and forecasting across regions. A push on productivity.

Data-driven 145

Data-driven Experimentation Predictive Modeling Data Warehouse 145

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 126

Data Transformation Machine Learning Data Lake Dashboards 126

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

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 Data-driven Finance Reporting 83

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

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 91

Business Intelligence Forecasting Marketing Sales 91

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 Data Science 137

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

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 111

Data Architecture Optimization Data Warehouse Metadata 111

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 25, 2019

Whether you work remotely all the time or just occasionally, data encryption helps you stop information from falling into the wrong hands. It Supports Data Integrity. Something else to keep in mind about encryption technology for data protection is that it helps increase the integrity of the information alone.

Technology 102

Technology Statistics Strategy Insurance 102

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 119

Visualization Dashboards Data-driven Gap analysis 119

Birst BI

FEBRUARY 13, 2018

The Constellation ShortList recognizes leading Cloud BI solutions that help companies gain deep, contextual insights from combinations of internal and external data. Birst achieves Networked BI through a modern multi-tenant architecture that aligns back-end enterprise data with line-of-business or local data.

Business Intelligence 66

Business Intelligence Diagnostic Analytics Analytics Visualization 66

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

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

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

AWS Big Data

MARCH 29, 2024

You can slice data by different dimensions like job name, see anomalies, and share reports securely across your organization. With these insights, teams have the visibility to make data integration pipelines more efficient. Solution overview The following architecture diagram illustrates the workflow to implement the solution.

Metrics 128

Metrics Visualization Dashboards Publishing 128

Cloudera

MARCH 23, 2022

By being a truly open table format, Apache Iceberg fits well within the vision of the Cloudera Data Platform (CDP). Let’s highlight some of those benefits, and why choosing CDP and Iceberg can future proof your next generation data architecture. . 4: Enterprise grade. 1: Multi-function analytics . 2: Open formats.

Metadata 92

Metadata Data Architecture Machine Learning Cost-Benefit 92

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

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

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