Sisense

AUGUST 28, 2020

Uncomfortable truth incoming: Most people in your organization don’t think about the quality of their data from intake to production of insights. However, as a data team member, you know how important data integrity (and a whole host of other aspects of data management) is. What is data integrity?

Data Integration 101

Data Integration Testing Data Quality Data-driven 101

Juice Analytics

MAY 11, 2020

Dresner Advisory Services’ report about self-service business intelligence uncovered a surprising result. Among all the technologies and initiatives that respondents consider important, the item that topped the list was reporting. But seriously, reporting? How can you not think of "TPS Reports"? Let that sink in.

Reporting 134

Reporting Analytics IT Data Lake 134

DataKitchen

NOVEMBER 5, 2024

The Silver layer aims to create a structured, validated data source that multiple organizations can access. This intermediate layer strikes a balance by refining data enough to be useful for general analytics and reporting while still retaining flexibility for further transformations in the Gold layer.

Data Quality 195

Data Quality Testing Metrics Reporting 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

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

O'Reilly on Data

JANUARY 29, 2019

In 2017, we published “ How Companies Are Putting AI to Work Through Deep Learning ,” a report based on a survey we ran aiming to help leaders better understand how organizations are applying AI through deep learning. We found companies were planning to use deep learning over the next 12-18 months.

Deep Learning 271

Deep Learning Machine Learning Data Science Metadata 271

CIO Business Intelligence

MAY 15, 2024

To do this requires more widespread awareness of cyber threats and information sharing, and a newly proposed cyber incident reporting rule from the Cybersecurity and Infrastructure Security Agency (“CISA”) is intended to meet this goal. Considering where you can decrease operational complexity to build in more capacity for reporting.

Reporting 119

Reporting Risk Data-driven Measurement 119

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? Software to Build Reporting System.

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

Data Virtualization

JUNE 4, 2024

Reading Time: 2 minutes Gartner Critical Capabilities documents compare vendors across a set of designated capabilities, and they are meant to be read in conjunction with Gartner Magic Quadrant reports, for an understanding of how the different vendors compare. In this post, I’d like.

Data Integration 52

Data Integration Reporting Management Data Science 52

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

CIO Business Intelligence

APRIL 8, 2025

Fragmented systems, inconsistent definitions, outdated architecture and manual processes contribute to a silent erosion of trust in data. When financial data is inconsistent, reporting becomes unreliable. A compliance report is rejected because timestamps dont match across systems. Assign domain data stewards.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

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 Big Data 195

O'Reilly on Data

FEBRUARY 4, 2019

In practice this means developing a coherent strategy for integrating artificial intelligence (AI), big data, and cloud components, and specifically investing in foundational technologies needed to sustain the sensible use of data, analytics, and machine learning. Data Platforms. Data Integration and Data Pipelines.

Machine Learning 279

Machine Learning Enterprise IoT Big Data 279

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

David Menninger's Analyst Perspectives

NOVEMBER 19, 2024

Data lineage is now one of three core components of the company’s data observability platform, alongside automated monitoring and anomaly detection. Having trust in data is crucial to business decision-making.

Data Quality 130

Data Quality Dashboards Data-driven Software 130

Data Virtualization

MAY 2, 2024

Reading Time: 3 minutes Denodo was recognized as a Leader in the 2023 Gartner® Magic Quadrant™ for Data Integration report, marking the fourth year in a row that Denodo has been recognized as such. I want to highlight the first of three strategic planning.

Data Integration 52

Data Integration Reporting Management Data Governance 52

datapine

NOVEMBER 11, 2021

a) Data Connectors Features. d) Reporting Features. For a few years now, Business Intelligence (BI) has helped companies to collect, analyze, monitor, and present their data in an efficient way to extract actionable insights that will ensure sustainable growth. b) Flexible Data Integration. Table of Contents.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

IBM Big Data Hub

AUGUST 24, 2022

The only question is, how do you ensure effective ways of breaking down data silos and bringing data together for self-service access? It starts by modernizing your data integration capabilities – ensuring disparate data sources and cloud environments can come together to deliver data in real time and fuel AI initiatives.

Data Integration 79

Data Integration Metadata Data-driven Data Architecture 79

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

KDnuggets

JUNE 19, 2024

Perform data integrity tests and generate model evaluation reports by writing a few lines of code.

Testing 145

Testing Machine Learning Data Integration Reporting 145

Smarten

OCTOBER 10, 2023

Choose Augmented Analytics With Customizable Reporting for Your Users! But how can you discover risks, challenges and opportunities if you can’t understand what the reports are trying to tell you? What if your business could enable report, template and document design and configuration to support preprinted fixed formats too?’

Reporting 69

Reporting Analytics Forecasting Data Integration 69

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. Moving forward, tracking data provenance is going to be important for security, compliance, and for auditing and debugging ML systems.

Big Data 272

Big Data Technology Machine Learning Deep Learning 272

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. In short, yes.

Data Quality 63

Data Quality Data Integration Metadata Cost-Benefit 63

Jet Global

JANUARY 6, 2025

insightsoftware, the leading provider of solutions for the Office of the CFO, is thrilled to introduce our new cloud connector for Infor M3 ERPs and Spreadsheet Server , our Excel-based reporting solution. With our cloud connector your team can work in an uninterrupted reporting environment before, during, and after your cloud migration.

Finance 52

Finance Reporting Data Integration Operational Reporting 52

AWS Big Data

FEBRUARY 2, 2023

In this post, we discuss a solution using Amazon Athena to query AWS Cost and Usage Reports and Amazon S3 Inventory reports to analyze the cost by prefixes and objects in an S3 bucket. Enable the Cost and Usage Reports. Create AWS Glue Data Catalog tables for the CUR and S3 object inventory to query using Athena.

Reporting 93

Reporting Data Lake Management Optimization 93

David Menninger's Analyst Perspectives

DECEMBER 31, 2024

Enterprises that adopt RPA report reductions in process cycle times and operational costs. Integrating with various data sources is crucial for enhancing the capabilities of automation platforms , allowing enterprises to derive actionable insights from all available datasets.

Cost-Benefit 130

Cost-Benefit Data-driven Enterprise Business Objectives 130

datapine

MAY 29, 2019

Business intelligence architecture is a term used to describe standards and policies for organizing data with the help of computer-based techniques and technologies that create business intelligence systems used for online data visualization , reporting, and analysis. One of the BI architecture components is data warehousing.

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

CIO Business Intelligence

FEBRUARY 26, 2025

And in an October Gartner report, 33% of enterprise software applications will include agentic AI by 2033, up from less than 1% in 2024, enabling 15% of day-to-day work decisions to be made autonomously. Having clean and quality data is the most important part of the job, says Kotovets.

IT 141

IT Enterprise Interactive Data Quality 141

CIO Business Intelligence

OCTOBER 24, 2024

In addition, despite billions of dollars invested in AI infrastructure and generative AI in 2023, only 20% of businesses reported earnings benefits from AI in 2024.” Forrester said gen AI will affect process design, development, and data integration, thereby reducing design and development time and the need for desktop and mobile interfaces.

ROI 127

ROI Data-driven Enterprise Experimentation 127

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

David Menninger's Analyst Perspectives

FEBRUARY 10, 2022

Organizations of all sizes are dealing with exponentially increasing data volume and data sources, which creates challenges such as siloed information, increased technical complexities across various systems and slow reporting of important business metrics.

Analytics 246

Analytics Business Intelligence Metrics Reporting 246

AWS Big Data

JANUARY 15, 2025

In the following section, two use cases demonstrate how the data mesh is established with Amazon DataZone to better facilitate machine learning for an IoT-based digital twin and BI dashboards and reporting using Tableau. This agility accelerates EUROGATEs insight generation, keeping decision-making aligned with current data.

IoT 100

IoT Machine Learning Metadata Data-driven 100

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

O'Reilly on Data

NOVEMBER 13, 2018

At the recent Strata Data conference we had a series of talks on relevant cultural, organizational, and engineering topics. Here's a list of a few clusters of relevant sessions from the recent conference: Data Integration and Data Pipelines. Data Platforms. Model lifecycle management.

Machine Learning 277

Machine Learning Risk Management Statistics 277

Data Virtualization

AUGUST 28, 2024

Reading Time: 5 minutes Today, as transparency and accountability become increasingly important, the European Union’s Corporate Sustainability Reporting Directive (CSRD) represents a significant step forward in the way companies disclose their sustainability practices.

Reporting 52

Reporting Data Integration Management Data Science 52

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

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