Alation

DECEMBER 15, 2022

March 2015: Alation emerges from stealth mode to launch the first official data catalog to empower people in enterprises to easily find, understand, govern and use data for informed decision making that supports the business. May 2016: Alation named a Gartner Cool Vendor in their Data Integration and Data Quality, 2016 report.

Metadata 52

Metadata Data Governance Data Quality Marketing 52

erwin

DECEMBER 12, 2019

Here are some benefits of metadata management for data governance use cases: Better Data Quality: Data issues and inconsistencies within integrated data sources or targets are identified in real time to improve overall data quality by increasing time to insights and/or repair. by up to 70 percent.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

erwin

JANUARY 11, 2019

It’s only when companies take their first stab at manually cataloging and documenting operational systems, processes and the associated data, both at rest and in motion, that they realize how time-consuming the entire data prepping and mapping effort is, and why that work is sure to be compounded by human error and data quality issues.

Data Governance 40

Data Governance Risk Metadata Management 40

FineReport

MAY 31, 2023

Finance and accounting teams often deal with data residing in multiple systems, such as accounting software, ERP systems, spreadsheets, and data warehouses. Ensuring seamless data integration and accuracy across these sources can be complex and time-consuming.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

AWS Big Data

JULY 12, 2023

Introduction to Amazon Redshift Amazon Redshift is a fast, fully-managed, self-learning, self-tuning, petabyte-scale, ANSI-SQL compatible, and secure cloud data warehouse. Thousands of customers use Amazon Redshift to analyze exabytes of data and run complex analytical queries.

Data Warehouse 52

Data Warehouse Modeling Dashboards Data Lake 52

IBM Big Data Hub

DECEMBER 7, 2023

Today, OLAP database systems have become comprehensive and integrated data analytics platforms, addressing the diverse needs of modern businesses. They are seamlessly integrated with cloud-based data warehouses, facilitating the collection, storage and analysis of data from various sources.

OLAP 58

OLAP Slice and Dice Cost-Benefit Data Warehouse 58

Alation

AUGUST 11, 2022

The data warehouse and analytical data stores moved to the cloud and disaggregated into the data mesh. Today, the brightest minds in our industry are targeting the massive proliferation of data volumes and the accompanying but hard-to-find value locked within all that data. Architectures became fabrics.

Metadata 52

Metadata Data Warehouse Data Quality Data Lake 52

Jet Global

JULY 11, 2019

Data Consolidation. A data warehouse can help you collect business data from multiple sources and use it for accurate reporting and analytics. BI powered by data warehouses can better correlate data from disparate systems and provide greater insight into the supply chain, sales, financials, etc.

Business Intelligence 72

Business Intelligence Forecasting Data Warehouse Predictive Analytics 72

Jet Global

OCTOBER 1, 2019

Data Consolidation. A data warehouse can help you collect business data from multiple sources and use it for accurate reporting and analytics. BI powered by data warehouses can better correlate data from disparate systems and provide greater insight into the supply chain, sales, financials, etc.

Business Intelligence 40

Business Intelligence Forecasting Data Warehouse Predictive Analytics 40

IBM Big Data Hub

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

Cost-Benefit 76

Cost-Benefit Metadata Optimization Management 76

Domino Data Lab

JUNE 15, 2021

At a certain point, as the demand keeps growing, the data volumes rapidly increase. Data is no longer stored in CSV files, but in a dedicated, purpose built data lake / data warehouse. Existing preprocessing, data ingestion, and data quality processes can be converted from Java/Spark into Java UDFs.

Modeling 69

Modeling Data Science Data-driven Data Warehouse 69

Domino Data Lab

FEBRUARY 4, 2019

In my experience, hyper-specialization tends to seep into larger organizations in a special way… If a company is say, more than 10 years old, they probably began analytics work with a business intelligence team using a data warehouse. That brings us up to circa Mother of All Demos. Lack of data, or data quality issues (silos).

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Rocket-Powered Data Science

MARCH 20, 2023

In fact, by putting a single label like AI on all the steps of a data-driven business process, we have effectively not only blurred the process, but we have also blurred the particular characteristics that make each step separately distinct, uniquely critical, and ultimately dependent on specialized, specific technologies at each step.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Unstructured Data 325

Jet Global

MAY 28, 2019

Whether the reporting is being done by an end user, a data science team, or an AI algorithm, the future of your business depends on your ability to use data to drive better quality for your customers at a lower cost. So, when it comes to collecting, storing, and analyzing data, what is the right choice for your enterprise?

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

IBM Big Data Hub

JULY 27, 2023

Request a demo to see how watsonx can put AI to work There’s no AI, without IA AI is only as good as the data that informs it, and the need for the right data foundation has never been greater. It provides the combination of data lake flexibility and data warehouse performance to help to scale AI.

Management 54

Management Enterprise Modeling Data Quality 54

Alation

APRIL 19, 2022

Data modernization is the process of transferring data to modern cloud-based databases from outdated or siloed legacy databases, including structured and unstructured data. In that sense, data modernization is synonymous with cloud migration. Consolidating all data across your organization builds trust in the data.

Cost-Benefit 52

Cost-Benefit Data Governance Manufacturing Data Architecture 52

Alation

AUGUST 26, 2021

As lakes of data become oceans, locating that which is trustworthy and reliable grows more difficult — and important. Indeed, as businesses attempt to scale AI and BI programs, small issues around data quality can transmogrify into massive challenges. Data quality. Data governance. Data profiling.

Metadata 64

Metadata Data Governance Dashboards Software 64

Jet Global

DECEMBER 23, 2021

Data quality has always been at the heart of financial reporting , but with rampant growth in data volumes, more complex reporting requirements and increasingly diverse data sources, there is a palpable sense that some data, may be eluding everyday data governance and control. Data Quality Audit.

Data Quality 98

Data Quality Reporting Recreation/Entertainment Finance 98

Jet Global

SEPTEMBER 26, 2023

Data Cleansing Imperative: The same report revealed that organizations recognized the importance of data quality, with 71% expressing concerns about data quality issues. This underscores the need for robust data cleansing solutions.

Data Quality 52

Data Quality Reporting Management Software 52

Jet Global

MAY 6, 2024

However, if your team is accustomed to traditional methods they might hesitate to embrace SAP IBP’s AI-powered data anomaly detection for a few reasons. Firstly, there’s a potential fear of the unknown – relying on AI for such a critical task as data quality can feel like a leap of faith.

Data-driven 52

Data-driven Finance Data Quality Reporting 52

Jet Global

OCTOBER 4, 2023

Addressing these challenges often requires investing in data integration solutions or third-party data integration tools. Visit our website  to schedule a demo and learn how your team can bridge the gap between its SAP data and Excel.

Finance 52

Finance Reporting Cost-Benefit Management 52

Jet Global

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

MAY 8, 2024

The most popular BI initiatives were data security, data quality, and reporting. Among other findings, the report identifies operations, executive management, and finance as the key drivers for business intelligence practices. Top BI objectives were better decision making and efficiency/cost and revenue goals.

Business Intelligence 52

Business Intelligence Reporting Measurement Software 52

Jet Global

AUGUST 24, 2023

Real-time data availability ensures that critical decision-making processes are not hindered by data transition activities Angles is also built for today’s cloud-first IT, with support for hybrid deployments that offload processing from the primary database to a Microsoft Azure or Snowflake data warehouse.

Finance 52

Finance Reporting Data Integration Risk 52

Jet Global

MARCH 4, 2024

Reduce Your SAP Data Processing Times by 90% Download Now Take Control of Your SAP Data Governance with Easy Workflow Easy Workflow is your ticket to effortless data governance. Here’s how it empowers you: Clean and Validated Data : Easy Workflow enforces data quality through automated validation rules.

Management 52

Management Data Governance Reporting Software 52

Jet Global

FEBRUARY 23, 2024

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

NOVEMBER 14, 2023

Users need to go in and out of individual reports to get specific data they are looking for. Access to Real-Time Data Can Revolutionize Your Reporting To sidestep the negative effects of outdated data, your reporting tool should prioritize data quality, accuracy, and timeliness.

Reporting 52

Reporting Finance Operational Reporting Dashboards 52

Jet Global

APRIL 14, 2022

Having accurate data is crucial to this process, but finance teams struggle to easily access and connect with data. Improve data quality. To learn more, contact us to schedule a free demo. I'd like to see a demo of insightsoftware solutions. Near real-time information is vital to: Save time. 30% Siloed.

Data Collection 52

Data Collection Management Finance Reporting 52

Jet Global

JULY 17, 2023

One of the major challenges in most business intelligence (BI) projects is data quality (or lack thereof). In fact, most project teams spend 60 to 80 percent of total project time cleaning their data—and this goes for both BI and predictive analytics.

Predictive Analytics 52

Predictive Analytics Reporting Strategy Software 52

Jet Global

DECEMBER 3, 2021

Transformational leaders represent a compelling example for the value of investing in data quality, automation, and specialised reporting software. They seek to automate data capture and maintain good control over different data sources and mapping tables. I'd like to see a demo of insightsoftware solutions.

Reporting 52

Reporting Recreation/Entertainment Finance Software 52

Jet Global

MARCH 13, 2024

Its easy-to-configure, pre-built templates get you up and running fast without having to understand complex Dynamics data structures. Free your team to explore data and create or modify reports on their own with no hard coding or programming skills required. Schedule a demo to see it in action today.

Reporting 52

Reporting Finance Data Quality Sales 52

Jet Global

OCTOBER 26, 2023

If your finance team is using JD Edwards (JDE) and Oracle E-Business Suite (EBS), it’s like they rely on well-maintained and accurate master data to drive meaningful insights through reporting. For these teams, data quality is critical. Ensuring that data is integrated seamlessly for reporting purposes can be a daunting task.

Data Quality 52

Data Quality Reporting Operational Reporting Finance 52

Jet Global

FEBRUARY 23, 2024

A Centralized Hub for Data Data silos are the number one inhibitor to commerce success regardless of your business model. Through effective workflow, data quality, and governance tools, a PIM ensures that disparate content is transformed into a company-wide strategic asset.

Management 52

Management Sales Publishing Data Quality 52

Jet Global

JANUARY 13, 2023

Discover how SAP data quality can hurt your OTIF. If you deliver the right products on time, offering a regular price and good quality, you will have happy customers,” Richard den Ouden, co-founder of Angles of SAP. In addition to the webinar, you can access an instant demo for Angles for SAP here. Get a Demo.

Measurement 52

Measurement Reporting Operational Reporting Forecasting 52

Jet Global

OCTOBER 11, 2023

A Quick Overview of Logi Symphony Download Now Here are the key gains your applications team receives with Logi Symphony: All Things Data Improve data quality and collaboration to enable consumers with the tools to readily understand their data. Join disparate data sources to clean and apply structure to your data.

Dashboards 52

Dashboards Data-driven Software Reporting 52

Jet Global

OCTOBER 24, 2023

Why Finance Teams are Struggling with Efficiency in 2023 Disconnected SAP Data Challenges Siloed data poses significant collaboration challenges to your SAP reporting team like reporting delays, limited visibility of data, and poor data quality.

Reporting 52

Reporting Operational Reporting Finance Enterprise 52

Jet Global

MARCH 14, 2024

Jet’s interface lets you handle data administration easily, without advanced coding skills. You don’t need technical skills to manage complex data workflows in the Fabric environment.

Analytics 52

Analytics Management Reporting Enterprise 52