Jet Global

AUGUST 24, 2023

Reasons for Lingering On-Premises Many companies are willing to experiment with the cloud in other parts of their business, but they feel that they can’t put the quality, consistency, security, or availability of financial data in jeopardy. Thus, finance data remains on-premises.

Finance 52

Finance Reporting Data Integration Risk 52

Jet Global

OCTOBER 24, 2023

In today’s turbulent market, it’s key that these insights include data inputs from across the whole organization, not just finance. 48% of finance teams are seeing efficiency losses from global economic disruptions. Our recent Hanover report echoes this sentiment.

Reporting 52

Reporting Operational Reporting Finance Enterprise 52

Jet Global

OCTOBER 4, 2023

Finance teams are under pressure to slash costs while playing a key role in data strategy, yet they are still bogged down by manual tasks, overreliance on IT, and low visibility on company data. This expansion of responsibilities is exacerbating the well-documented trend of finance team burnout, leading to undesirable turnover.

Finance 52

Finance Reporting Cost-Benefit Management 52

Jet Global

MARCH 13, 2024

While Microsoft Dynamics is a powerful platform for managing business processes and data, Dynamics AX users and Dynamics 365 Finance & Supply Chain Management (D365 F&SCM) users are only too aware of how difficult it can be to blend data across multiple sources in the Dynamics environment.

Reporting 52

Reporting Finance Data Quality Sales 52

Cloudera

SEPTEMBER 7, 2023

Perhaps the biggest challenge of all is that AI solutions—with their complex, opaque models, and their appetite for large, diverse, high-quality datasets—tend to complicate the oversight, management, and assurance processes integral to data management and governance. Initiate basic AI training programs for staff.

Insurance 81

Insurance Risk Data-driven Finance 81

Jet Global

MAY 9, 2024

Batch processing pipelines are designed to decrease workloads by handling large volumes of data efficiently and can be useful for tasks such as data transformation, data aggregation, data integration , and data loading into a destination system. How is ELT different from ETL?

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. The first step of data mapping is defining the scope of your data mapping project.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

DECEMBER 7, 2020

IDL understands the needs of finance teams – high-quality data, integrated intercompany clearing and continuous financial consolidation aligned with the respective accounting standards – and brings deep expertise in the international consolidation and close requirements for customers in Germany, Austria, and Switzerland with global operations. “In

Finance 52

Finance Software Reporting Forecasting 52

FineReport

MAY 31, 2023

A financial dashboard, one of the most important types of data dashboards , functions as a business intelligence tool that enables finance and accounting teams to visually represent, monitor, and present financial key performance indicators (KPIs). Inaccurate or inconsistent data can lead to erroneous conclusions and decisions.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 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

CIO Business Intelligence

FEBRUARY 16, 2023

That step, primarily undertaken by developers and data architects, established data governance and data integration. For that, he relied on a defensive and offensive metaphor for his data strategy. The defensive side includes traditional elements of data management, such as data governance and data quality.

Unstructured Data 103

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 103

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

APRIL 14, 2022

However, they require knowledge of SQL to generate, can be rigid, and do not cover the specific custom reporting needs of real estate finance teams. Finance teams may need to lean on their IT department or external contractors to create insightful reports, rather than spend days creating them themselves. Improve data quality.

Data Collection 52

Data Collection Management Finance Reporting 52

Jet Global

MARCH 4, 2024

This lack of integration makes it difficult to track progress, measure performance, and identify potential issues. Data governance and compliance become a constant juggling act. 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

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

Jet Global

MARCH 14, 2024

Jet streamlines many aspects of data administration, greatly improving data solutions built on Microsoft Fabric. It enhances analytics capabilities, streamlines migration, and enhances data integration. Through Jet’s integration with Fabric, your organization can better handle, process, and use your data.

Analytics 52

Analytics Management Reporting Enterprise 52

BI-Survey

AUGUST 1, 2019

Data monetization is at an early stage of adoption but is expanding. 17 percent of companies have established data monetization initiatives, a further 12 percent are currently building prototypes and another 10 percent are still developing a concept. Challenges – Data quality is key. Generating.

Cost-Benefit 53

Cost-Benefit Reporting Data Quality Data-driven 53

Jet Global

MAY 16, 2022

Automation is your key to success in Finance and this includes your close. A recent survey by Hanover Research found that a staggering 49% of Finance professionals felt unable to execute their tasks completely because their current manual processes were too time consuming. Show your company’s financial viability. ?. Access Resource.

Finance 52

Finance Reporting Management Software 52

IBM Big Data Hub

OCTOBER 12, 2023

Security and privacy —When all data scientists and AI models are given access to data through a single point of entry, data integrity and security are improved. But the implementation of AI is only one piece of the puzzle.

Cost-Benefit 79

Cost-Benefit Metadata Data Governance Modeling 79

O'Reilly on Data

DECEMBER 19, 2018

Anomaly detection is well-known in the financial industry, where it’s frequently used to detect fraudulent transactions, but it can also be used to catch and fix data quality issues automatically. If you suddenly see unexpected patterns in your social data, that may mean adversaries are attempting to poison your data sources.

Machine Learning 258

Machine Learning Software Metadata Testing 258

datapine

FEBRUARY 22, 2022

IT should be involved to ensure governance, knowledge transfer, data integrity, and the actual implementation. Clean data in, clean analytics out. Cleaning your data may not be quite as simple, but it will ensure the success of your BI. Indeed, every year low-quality data is estimated to cost over $9.7

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Jet Global

MAY 1, 2020

We can almost guarantee you different results from each, and you end up with no data integrity whatsoever. Data quality issues. Here’s the ugly truth: Everybody has a data quality problem. This is because people won’t use BI applications that are founded on irrelevant, incomplete, or questionable data.

Data Warehouse 64

Data Warehouse Data Quality Risk Reporting 64

Alation

OCTOBER 28, 2021

To make good on this potential, healthcare organizations need to understand their data and how they can use it. These systems should collectively maintain data quality, integrity, and security, so the organization can use data effectively and efficiently. Why Is Data Governance in Healthcare Important?

Data Governance 52

Data Governance Measurement Metrics Modeling 52

Jet Global

OCTOBER 11, 2023

Another hurdle is the task of managing diverse data sources, as organizations typically store data in various formats and locations. Ensuring that embedded analytics can access and analyze data from these multiple sources can pose a substantial technical difficulty, requiring powerful data integration capabilities.

Dashboards 52

Dashboards Data-driven Software Reporting 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. Analyze your OTIF. Improve your OTIF by preventing future backorders.

Measurement 52

Measurement Reporting Operational Reporting Forecasting 52

Jet Global

SEPTEMBER 22, 2023

Whether you need to fetch real-time data or extract insights from visual representations, ChatGPT’s capabilities enhance Logi Symphony’s functionality. By leveraging the power of AI and data integration, you can gain deeper insights into your data and make more informed decisions. Connect to any data source.

Dashboards 52

Dashboards Data-driven Visualization Interactive 52

datapine

MAY 17, 2021

If you have multiple databases from different touchpoints, you should look for a tool that will allow data integration no matter the amount of information you want to include. Besides connecting the data, the discovery tool you choose should also support working with big amounts of data. click to enlarge**.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161