Jet Global

DECEMBER 5, 2024

New drivers simplify Workday data integration for enhanced analytics and reporting RALEIGH, N.C. – The Simba Workday drivers provide secure access to Workday data for analytics, ETL (extract, transform, load) processes, and custom application development using both ODBC and JDBC technologies.

Data Integration 52

Data Integration Finance Data-driven Reporting 52

CIO Business Intelligence

FEBRUARY 26, 2025

Agentic AI was the big breakthrough technology for gen AI last year, and this year, enterprises will deploy these systems at scale. According to a January KPMG survey of 100 senior executives at large enterprises, 12% of companies are already deploying AI agents, 37% are in pilot stages, and 51% are exploring their use.

IT 141

IT Enterprise Interactive Data Quality 141

CIO Business Intelligence

APRIL 22, 2024

Salesforce’s negotiations to acquire enterprise data management software provider Informatica have fallen through as both couldn’t agree on the terms of the deal. That the talks about the deal had come to a close was reported by The Wall Street Journal (WSJ) and Reuters , citing an anonymous source.

Reporting 122

Reporting B2B Enterprise Software 122

David Menninger's Analyst Perspectives

DECEMBER 31, 2024

Task automation platforms initially enabled enterprises to automate repetitive tasks, freeing valuable human resources for more strategic activities. Enterprises that adopt RPA report reductions in process cycle times and operational costs.

Cost-Benefit 130

Cost-Benefit Data-driven Enterprise Business Objectives 130

CIO Business Intelligence

OCTOBER 24, 2024

Their top predictions include: Most enterprises fixated on AI ROI will scale back their efforts prematurely. The expectation for immediate returns on AI investments will see many enterprises scaling back their efforts sooner than they should,” Chaurasia and Maheshwari said.

ROI 127

ROI Data-driven Enterprise Experimentation 127

DataKitchen

NOVEMBER 5, 2024

Next, data is processed in the Silver layer , which undergoes “just enough” cleaning and transformation to provide a unified, enterprise-wide view of core business entities. This stage involves validation, deduplication, and merging of data from different sources, ensuring that the data is in a more consistent and reliable format.

Data Quality 198

Data Quality Testing Metrics Reporting 198

Corinium

APRIL 7, 2021

This brief explains how data virtualization, an advanced data integration and data management approach, enables unprecedented control over security and governance. In addition, data virtualization enables companies to access data in real time while optimizing costs and ROI.

Unstructured Data 195

Unstructured Data Management ROI Data Integration 195

FineReport

MAY 23, 2021

How to Make Reports Outstanding? In the era of data driving the decision, the importance of reporting and analytics is increasingly recognized by organizations. Two things can help you be a great report maker. The first is clear design thinking, and the second is efficient report writing software. 1 FineReport.

Reporting 98

Reporting Software Dashboards Visualization 98

CIO Business Intelligence

JANUARY 11, 2024

CIOs are under increasing pressure to deliver AI across their enterprises – a new reality that, despite the hype, requires pragmatic approaches to testing, deploying, and managing the technologies responsibly to help their organizations work faster and smarter. The top brass is paying close attention.

Enterprise 128

Enterprise Uncertainty Reporting Risk Management 128

FineReport

AUGUST 14, 2020

When mentioning the reporting, folders loaded with spreadsheets, graphs, and commentaries may ring a bell. With the development of enterprise informatization, there are more and more kinds of data produced, and the demand for reports surges day by day. What is the Reporting System?

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

CIO Business Intelligence

JULY 10, 2024

In Europe, this attitude has become law, with the Corporate Sustainability Reporting Directive (CSRD) mandating that companies disclose its Environmental, Social, and Corporate Governance (ESG) efforts in annual reports, based on European Sustainability Reporting Standards (ESRS).

Reporting 102

Reporting KPI Metrics Software 102

Jet Global

JANUARY 4, 2020

Reporting is considered a necessary evil by a lot of people. Without clear, accurate, and comprehensive reports, there is no way to know how your company is performing. Yet the amount of time, input, and resources that reporting requires means it can drag down performance in the process. Access Live ERP Data.

Reporting 98

Reporting Strategy Enterprise Data Integration 98

Jet Global

JANUARY 4, 2020

Reporting is considered a necessary evil by a lot of people. Without clear, accurate, and comprehensive reports, there is no way to know how your company is performing. Yet the amount of time, input, and resources that reporting requires means it can drag down performance in the process. Access Live ERP Data.

Reporting 98

Reporting Strategy Enterprise Data Integration 98

AWS Big Data

OCTOBER 21, 2024

Data is the most significant asset of any organization. However, enterprises often encounter challenges with data silos, insufficient access controls, poor governance, and quality issues. Embracing data as a product is the key to address these challenges and foster a data-driven culture.

Sales 115

Sales Data-driven Data Processing Key Performance Indicator 115

FineReport

MARCH 24, 2021

However, thanks to the improvement of information technology and the birth of the browser/server model, Web Reports appear with unprecedented advantages. This article will walk you through the definition and importance of web reports and provide practical solutions. Main Features of Web-based Report. What is Web Report?

Reporting 98

Reporting Dashboards Interactive Visualization 98

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. Data Platforms. Deep Learning.

Big Data 271

Big Data Technology Machine Learning Deep Learning 271

Octopai

JUNE 26, 2020

Why aren’t the numbers in these reports matching up? We’re dealing with data day in and day out, but if isn’t accurate then it’s all for nothing!” In a panic, he went from desk to desk asking his teammates if they had been working on the same reports that day. They deal with tens if not hundreds of reports each day….

Metadata 98

Metadata Data Governance Enterprise Reporting 98

erwin

JUNE 4, 2020

Because of its holistic view of an organization, enterprise architecture and mergers & acquisitions (M&A) go hand-in-hand. The Financial Times reported Google, Amazon, Apple, Facebook and Microsoft have made 19 deals so far this year, according to Refinitiv, the London-based global provider of financial market data.

Enterprise 96

Enterprise Cost-Benefit Strategy Modeling 96

FineReport

AUGUST 6, 2020

If you need to do routine table records, data calculations and chart analysis in your daily work, you will definitely use Excel to make reports. But when it comes to business reports for corporate management, huge and complex data analysis, financial analysis, data entry, etc, Excel is far from being able to meet these needs.

Reporting 98

Reporting Dashboards Visualization Statistics 98

Ontotext

JULY 29, 2021

The Semantic Web, both as a research field and a technology stack, is seeing mainstream industry interest, especially with the knowledge graph concept emerging as a pillar for data well and efficiently managed. And what are the commercial implications of semantic technologies for enterprise data? What is it? Which Semantic Web?

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

DataKitchen

APRIL 28, 2021

Industry analysts who follow the data and analytics industry tell DataKitchen that they are receiving inquiries about “data fabrics” from enterprise clients on a near-daily basis. Gartner included data fabrics in their top ten trends for data and analytics in 2019.

Statistics 246

Statistics Optimization Data Analytics Technology 246

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

AWS Big Data

DECEMBER 4, 2024

Our customers are telling us that they are seeing their analytics and AI workloads increasingly converge around a lot of the same data, and this is changing how they are using analytics tools with their data. Introducing the next generation of SageMaker The rise of generative AI is changing how data and AI teams work together.

Data Analytics 103

Data Analytics Analytics Data Lake Data Quality 103

FineReport

JUNE 15, 2020

Management reporting is common and to some extent indispensable in enterprise reporting. These are very useful as they provide corporate leaders with accurate data and detailed management conditions, which helps them make smarter decisions and adjust strategies. What is Management Reporting? From FineReport.

Reporting 80

Reporting Management Key Performance Indicator Visualization 80

Octopai

NOVEMBER 13, 2022

The modern data stack is a data management system built out of cloud-based data systems. A given modern data stack will usually include components for data ingestion from your data sources, data transformation, data storage, data analysis and reporting.

Enterprise 97

Enterprise Data Warehouse Reporting Metadata 97

Jet Global

NOVEMBER 6, 2019

Data integrity issues are a bigger problem than many people realize, mostly because they can’t see the scale of the problem. Errors and omissions are going to end up in large, complex data sets whenever humans handle the data. Prevention is the only real cure for data integrity issues.

Data Integration 58

Data Integration Reporting Data Processing Optimization 58

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

O'Reilly on Data

NOVEMBER 13, 2018

As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. We recently conducted a survey which garnered more than 11,000 respondents—our main goal was to ascertain how enterprises were using machine learning. Data Platforms. Model lifecycle management.

Machine Learning 277

Machine Learning Risk Management Statistics 277

CIO Business Intelligence

AUGUST 2, 2024

Data centers are running at near capacity in many areas of the world, according to the Global Data Center Trends 2024 report from CBRE, a real estate services firm. The 2023 CBRE report found that 83% of the data center capacity under construction at the time was presold.

Reporting 141

Reporting Machine Learning Consulting Enterprise 141

CIO Business Intelligence

APRIL 17, 2024

Salesforce’s reported bid to acquire enterprise data management vendor Informatica could mean consolidation for the integration platform-as-a-service (iPaaS) market and a new revenue stream for Salesforce, according to analysts. Informatica offers similar services via its Intelligent Data Management Cloud (IDMC) platform.

Cost-Benefit 128

Cost-Benefit B2B Marketing Enterprise 128

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

CIO Business Intelligence

NOVEMBER 1, 2023

I hate the way enterprise IT industry analysts see the world. But it’s something that I not only feel myself, but that I hear (in various forms) from tech vendors and enterprise IT execs alike — all the time. There’s something enticing about the process of collecting a bunch of vendors in a report and comparing them.

Marketing 78

Marketing Enterprise Digital Transformation Optimization 78

O'Reilly on Data

DECEMBER 19, 2018

We won’t be writing code to optimize scheduling in a manufacturing plant; we’ll be training ML algorithms to find optimum performance based on historical data. If humans are no longer needed to write enterprise applications, what do we do? Humans are still needed to write software, but that software is of a different type.

Machine Learning 279

Machine Learning Software Metadata Testing 279

Smarten

FEBRUARY 26, 2025

Business and Market Requirements As organizations and business users embrace analytics, the need for new types of visualization, reporting and features changes quickly. Vendors can accommodate business-specific needs and data visualization requirements without time-consuming, expensive customization.

Analytics 64

Analytics Cost-Benefit Visualization ROI 64

CIO Business Intelligence

JUNE 5, 2023

Though we know who’s paying your income taxes this April (sorry to rub it in: it’s you), we have to ask: Who’s paying your data integration tax? Data integration tax is a term used to describe the hidden costs associated with integrating data solutions to process your data from disparate sources and for different needs.

Data Integration 52

Data Integration ROI Risk Machine Learning 52

Smart Data Collective

SEPTEMBER 8, 2021

The ETL process is defined as the movement of data from its source to destination storage (typically a Data Warehouse) for future use in reports and analyzes. The data is initially extracted from a vast array of sources before transforming and converting it to a specific format based on business requirements.

Data Warehouse 126

Data Warehouse Data Integration Marketing Software 126

DataKitchen

JANUARY 19, 2022

The Matillion data integration and transformation platform enables enterprises to perform advanced analytics and business intelligence using cross-cloud platform-as-a-service offerings such as Snowflake. Enterprises live in a multi-tool, multi-language world. Parameterizing Matillion JSON Files. Stronger Together.

Testing 130

Testing Data Integration Data Warehouse Enterprise 130