erwin

JANUARY 11, 2019

A company can’t effectively implement data governance – documenting and applying business rules and processes, analyzing the impact of changes and conducting audits – if it fails at data management. The problem usually starts by relying on manual integration methods for data preparation and mapping.

Data Governance 40

Data Governance Risk Metadata Management 40

Jet Global

MAY 1, 2020

We can almost guarantee you different results from each, and you end up with no data integrity whatsoever. The mechanical solution is to build a data warehouse. This is because people won’t use BI applications that are founded on irrelevant, incomplete, or questionable data. Risk to the business. guess what?

Data Warehouse 64

Data Warehouse Data Quality Risk Reporting 64

Jet Global

OCTOBER 7, 2020

Confusing matters further, Microsoft has also created something called the Data Entity Store, which serves a different purpose and functions independently of data entities. The Data Entity Store is an internal data warehouse that is only available to embedded Power BI reports (not the full version of Power BI).

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Ontotext

MARCH 8, 2023

With the size of data and dropping attention spans of online users, digital personalization has become one of the top priorities for companies’ business models. However, this information is typically stored in disparate locations, often hidden within departmental documents or applications. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

BI-Survey

AUGUST 21, 2020

But what are the right measures to make the data warehouse and BI fit for the future? Can the basic nature of the data be proactively improved? The following insights came from a global BARC survey into the current status of data warehouse modernization. They are opting for cloud data services more frequently.

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

AWS Big Data

MAY 3, 2023

In today’s data-driven business environment, organizations face the challenge of efficiently preparing and transforming large amounts of data for analytics and data science purposes. Businesses need to build data warehouses and data lakes based on operational data.

Data Lake 79

Data Lake Data Warehouse Data-driven Optimization 79

Domino Data Lab

APRIL 3, 2019

The longer answer is that in the context of machine learning use cases, strong assumptions about data integrity lead to brittle solutions overall. Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. There are models everywhere.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

AWS Big Data

JULY 25, 2023

The integration of Talend Cloud and Talend Stitch with Amazon Redshift Serverless can help you achieve successful business outcomes without data warehouse infrastructure management. Solution overview The integration of Talend with Amazon Redshift adds new features and capabilities.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

Alation

JANUARY 17, 2023

The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform. It is known to have benefits in handling data due to its robustness, speed, and scalability. Data ingestion/integration services. Reverse ETL tools.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

erwin

FEBRUARY 19, 2021

Connect physical metadata to specific data models, business terms, definitions and reusable design standards. Understand how data relates to the business and what attributes it has. Map data flows. Identify where to integrate data and track how it moves and transforms. Govern data. Analyze metadata.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

IBM Big Data Hub

OCTOBER 12, 2023

Connecting AI models to a myriad of data sources across cloud and on-premises environments AI models rely on vast amounts of data for training. Once trained and deployed, models also need reliable access to historical and real-time data to generate content, make recommendations, detect errors, send proactive alerts, etc.

Cost-Benefit 76

Cost-Benefit Metadata Data Governance Modeling 76

Ontotext

FEBRUARY 26, 2024

However, it still requires more effort than building a single-purpose graph, like a labeled property graph (LPG), where you can whiteboard your graph model in an hour. Firstly, on the data maturity spectrum, the vast majority of organizations I’ve spoken with are stuck in the information stage. We call this the “bad data tax.”

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

Sisense

JULY 22, 2020

In all cases the data will eventually be loaded into a different place, so it can be managed, and organized, using a package such as Sisense for Cloud Data Teams. Using data pipelines and data integration between data storage tools, engineers perform ETL (Extract, transform and load). Connect tables.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

AWS Big Data

MARCH 3, 2023

Additionally, the scale is significant because the multi-tenant data sources provide a continuous stream of testing activity, and our users require quick data refreshes as well as historical context for up to a decade due to compliance and regulatory demands. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Cost-Benefit 52

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 103

Data Lake Management Metrics Data Warehouse 103

CIO Business Intelligence

NOVEMBER 7, 2023

Centralized reporting boosts data value For more than a decade, pediatric health system Phoenix Children’s has operated a data warehouse containing more than 120 separate data systems, providing the ability to connect data from disparate systems. Companies should also incorporate data discovery, Higginson says.

Data Warehouse 142

Data Warehouse Digital Transformation Data-driven Reporting 142

AWS Big Data

APRIL 25, 2023

The following factors guided our decision: Tool close to data – It was important to have the data visualization tool as close to the data as possible. At Dafiti, the entire infrastructure is on AWS, and we use Amazon Redshift as our Data Warehouse.

Visualization 52

Visualization IT Data-driven Reporting 52

erwin

JULY 17, 2019

Part Two of the Digital Transformation Journey … In our last blog on driving digital transformation , we explored how enterprise architecture (EA) and business process (BP) modeling are pivotal factors in a viable digital transformation strategy. Digital Transformation Strategy: Smarter Data.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

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. Data mapping helps standardize, visualize, and understand data across different systems and applications.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

MARCH 24, 2024

The combination of an EPM solution and a tax reporting tool can significantly increase collaboration and effectiveness for finance and tax teams in several ways: Data Integration. EPM tools often gather and consolidate financial data from various sources, providing a unified view of a company’s financial performance.

Finance 52

Finance Forecasting Reporting Dashboards 52

Jet Global

AUGUST 31, 2022

BEPS already requires that companies itemize their revenues by country, and as taxation bodies develop more sophisticated models that compare BEPS data with corporate tax return data, there may be an increase in investigations, again reinforcing the growing need for data scientists. Prioritize policy over numbers.

Software 52

Software Reporting Forecasting Management 52

Jet Global

FEBRUARY 8, 2023

You’ll benefit from flexible service models and easy integration with other applications. This is done without disrupting your data and reporting, and insightsoftware’s industry leading professional services consulting team can provide IPO readiness and data services support.

Management 52

Management Cost-Benefit Reporting Software 52

Jet Global

MAY 1, 2023

These licensing terms are critical: Perpetual license vs subscription: Subscription is a pay-as-you-go model that provides flexibility as you evaluate a vendor. Pricing model: The pricing scale is dependent on several factors. Some cloud applications can even provide new benchmarks based on customer data.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

NOVEMBER 7, 2023

The answer depends on your specific business needs and the nature of the data you are working with. Both methods have advantages and disadvantages: Replication involves periodically copying data from a source system to a data warehouse or reporting database. Empower your team to add new data sources on the fly.

Enterprise 52

Enterprise Data Warehouse Operational Reporting Reporting 52

Jet Global

APRIL 8, 2024

The finance team’s true value lies in providing strategic insights and analysis, not in data manipulation. Manual processes make integrating actual results into forecasting models cumbersome and error prone. This ensures data accuracy and consistency across all your financial processes, including forecasts and reports.

Reporting 52

Reporting Management Finance Forecasting 52

Jet Global

MARCH 14, 2024

Mastering Data: Effectively Manage Your Data Download Now How Jet Analytics Enhances Microsoft Fabric Jet Analytics from insightsoftware is a complete data preparation, automation and modeling solution that enables Microsoft Dynamics customers to accelerate Dynamics ERP-ready BI projects without requiring specialist skills.

Analytics 52

Analytics Management Reporting Enterprise 52

Jet Global

SEPTEMBER 15, 2023

Cloud ERPs are ideal for companies pursuing a remote work model, as your employees can access the software from anywhere without the extra step of logging in through a VPN. On-prem ERPs typically have a high initial cost as you must purchase sufficient hardware to meet your team’s data storage and processing needs.

Finance 52

Finance Reporting Cost-Benefit Software 52

Jet Global

JUNE 9, 2022

If your organization is one of those customers, we want to make you aware of some exciting new features recently introduced to the latest platform version that improve agility, collaboration, and integration. Seamless Integration with Cloud Data Warehouse Targets. Cloud data replication. Extend or Create New View.

Operational Reporting 52

Operational Reporting Reporting Data Warehouse Cost-Benefit 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. Here we explore these benefits in more detail.

Management 52

Management Sales Publishing Data Quality 52

Jet Global

FEBRUARY 9, 2022

This may be true for your organization when it comes to improving your budgeting, planning, and forecasting processes, where the fear of a complex, risky data integration project holds you back. As a result, you remain tied to your current, clunky and restrictive spreadsheet-based models and processes.

Forecasting 52

Forecasting Recreation/Entertainment Reporting Software 52

Jet Global

AUGUST 25, 2022

Due to the complexity of SAP data structures, you often need assistance from your IT team to pull reports, a time-consuming process that leads to long planning cycles, localized documents, and inefficient coordination across departments. More Accurate Data-Based Decision Making. 2022 Finance Teams Trends Report. Access Resource.

Forecasting 52

Forecasting Finance Reporting Testing 52

Jet Global

JUNE 10, 2022

Purpose-built tax planning and tax reporting solutions can automate the process by collecting and collating information from source accounting systems, modeling scenarios and predicting the likely tax implications, as well as serving as a foundation for documentation and compliance transfer pricing decisions.

Forecasting 52

Forecasting Reporting Finance Software 52

Jet Global

MAY 20, 2022

Auditors and regulators require extensive documentation, and if they find that transfer pricing has been done incorrectly or inappropriately, they may be required to restate financial results. So too, does the manual effort required to keep abreast of all that incoming data. Getting it wrong can be costly.

Technology 52

Technology Software Forecasting Reporting 52