Jet Global

MAY 27, 2022

Synapse services are powerful tools for bringing data together for analytics, machine learning, reporting needs, and more. How Synapse works with Data Lakes and Warehouses. Synapse services, data lakes, and data warehouses are often discussed together. Book A Demo.

Data Lake 52

Data Lake IT Recreation/Entertainment Data Warehouse 52

AWS Big Data

OCTOBER 27, 2023

Data integration is the foundation of robust data analytics. It encompasses the discovery, preparation, and composition of data from diverse sources. In the modern data landscape, accessing, integrating, and transforming data from diverse sources is a vital process for data-driven decision-making.

Analytics 109

Analytics Visualization Data Integration Cost-Benefit 109

FineReport

JULY 16, 2021

When we talk about business intelligence system, it normally includes the following components: data warehouse BI software Users with appropriate analytical. Data analysis and processing can be carried out while ensuring the correctness of data. Data Warehouse. Data Analysis. Features of BI systems.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

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

AWS Big Data

APRIL 20, 2023

In a modern data architecture, unified analytics enable you to access the data you need, whether it’s stored in a data lake or a data warehouse. One of the most common use cases for data preparation on Amazon Redshift is to ingest and transform data from different data stores into an Amazon Redshift data warehouse.

Visualization 85

Visualization Data Warehouse Big Data Data Lake 85

Alation

APRIL 14, 2023

Last week, the Alation team had the privilege of joining IT professionals, business leaders, and data analysts and scientists for the Modern Data Stack Conference in San Francisco. In “The modern data stack is dead, long live the modern data stack!” Cloud costs are growing prohibitive.

Data Warehouse 52

Data Warehouse Data-driven Metadata Digital Transformation 52

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

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

FineReport

MAY 31, 2023

There are also some other key challenges that will often be encountered during the process of creating financial dashboards: Data Integration : One of the primary challenges is integrating data from various sources. Ensuring seamless data integration and accuracy across these sources can be complex and time-consuming.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 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 84

Metadata Data Governance Digital Transformation Data Quality 84

erwin

JANUARY 11, 2019

Consider the problematic issue of manually mapping source system fields (typically source files or database tables) to target system fields (such as different tables in target data warehouses or data marts). So how can businesses produce value from their data when errors are introduced through manual integration processes?

Data Governance 40

Data Governance Risk Metadata Management 40

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

Occam's Razor

OCTOBER 19, 2010

If after rigorous analysis you have determined that you have evolved to a stage that you need a data warehouse then you are out of luck with Yahoo! If you can show ROI on a DW it would be a good use of your money to go with Omniture Discover, WebTrends Data Mart, Coremetrics Explore. and Google, get a paid solution.

Analytics 136

Analytics Testing Measurement Optimization 136

AWS Big Data

MAY 30, 2023

For Description , enter Parameter group for demo Aurora MySQL database. Before joining AWS, Manish’s experience includes helping customers implement data warehouse, BI, data integration, and data lake projects. For Parameter group family , select aurora-mysql5.7. For Type , choose DB Cluster Parameter Group.

Data Lake 87

Data Lake Data Analytics Analytics Data Processing 87

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 115

Data Lake Management Metrics Data Warehouse 115

FineReport

APRIL 3, 2024

Key components of well-designed dashboards include: Data Source Connections: BI dashboards connect to diverse data sources, including data warehouses, data marts, operational systems, and external feeds, ensuring comprehensive analytics insights. Security and Compliance: Data security is paramount.

Dashboards 52

Dashboards Visualization Metrics Interactive 52

DataRobot

JANUARY 20, 2022

The UK’s National Health Service (NHS) will be legally organized into Integrated Care Systems from April 1, 2022, and this convergence sets a mandate for an acceleration of data integration, intelligence creation, and forecasting across regions. Technology Alliance.

Data-driven 145

Data-driven Experimentation Predictive Modeling Modeling 145

AWS Big Data

SEPTEMBER 21, 2023

Satori integrates natively with both Amazon Redshift provisioned clusters and Amazon Redshift Serverless for easy setup of your Amazon Redshift data warehouse in the secure Satori portal. In part 2, we will explore how to set up self-service data access with Satori to data stored in Amazon Redshift.

Data Warehouse 97

Data Warehouse Interactive Data Architecture Data-driven 97

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 1, 2023

Show how embedded analytics will enhance sales and marketing through better demos and shorter sales cycles. Discuss how embedded analytics help their team to deliver better sales demos, decrease sales cycles, box out the competition, and drive new revenue. Have detailed vendor presentations and demos? Finish a proof-of-concept?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 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. 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

NOVEMBER 12, 2024

How to Set Your Finance Team's Technology Roadmap Download Now Integration Challenges Data integration also poses a significant challenge for finance teams using SAP S/4HANA Cloud. In fact, according to our recent study of SAP users, 76% of SAP-based finance teams felt over-reliant upon IT.

Finance 52

Finance Reporting Cost-Benefit Data-driven 52

Jet Global

OCTOBER 28, 2024

This inefficiency highlights the need to streamline processes and improve data management, including automated data integration. Our findings echo this insight, with the overwhelming majority of Oracle ERP finance teams (98%) experiencing data integration challenges.

Reporting 52

Reporting Finance Recreation/Entertainment Data-driven 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

SEPTEMBER 30, 2022

What are the best practices for analyzing cloud ERP data? Data Management. How do we create a data warehouse or data lake in the cloud using our cloud ERP? How do I access the legacy data from my previous ERP? How can we rapidly build BI reports on cloud ERP data without any help from IT?

Reporting 52

Reporting Data Warehouse Operational Reporting Enterprise 52

Jet Global

JULY 1, 2022

We’ve managed to improve our data integrity by major, major steps.”. Clean data is here. Angles for SAP sees to that for today’s complex and vital supply chains, mitigating risk and leveraging clean data for your company. Click here to arrange a demo and see if Angles for SAP is right for your business. Get a Demo.

Operational Reporting 98

Operational Reporting Reporting Finance Dashboards 98

Jet Global

DECEMBER 11, 2023

Your accounting team faces the challenge of harmonizing data from various software systems. They need to be able to drill into journals, balances, sub-ledger accounting, and transactions to find and quickly fix reconciliation or data integrity issues, which can be maintained throughout.

Management 52

Management Finance Reporting Software 52

Jet Global

NOVEMBER 14, 2022

Now that you have seen some examples and understand the benefits of an EPM strategy built around templates, let’s talk about how you can get started and begin taking advantage of this powerful strategy in your organization: Step 1: Choose Your Data Sources. contact us today to arrange a demo?of Get a Demo. of CXO Software.

Reporting 52

Reporting Sales Dashboards Metrics 52

Jet Global

JULY 16, 2024

Apache Iceberg is an open table format for huge analytic datasets designed to bring high-performance ACID (Atomicity, Consistency, Isolation, and Durability) transactions to big data. Get a Demo See how companies are getting live data from their ERP into Excel, and closing their books 4 days faster every month.

Dashboards 52

Dashboards Data-driven Reporting Business Intelligence 52

Jet Global

NOVEMBER 16, 2022

And for financial data, integrate and pull directly from your existing ERP to create reports. Contact insightsoftware for a live demo tailored to your business. Get a Demo. See how companies are getting live data from their ERP into Excel, and closing their books 4 days faster every month. What to expect.

Reporting 94

Reporting Software Key Performance Indicator Dashboards 94

Jet Global

NOVEMBER 14, 2024

Maintain a Single Source of Truth Ensuring data integrity is of utmost importance during migration. Centralizing your data into a single source of truth helps maintain accurate, up-to-date information accessible to all stakeholders.

Reporting 52

Reporting Finance Operational Reporting Management 52

Jet Global

FEBRUARY 23, 2024

PIM’s data integration tools also enable you to blend PIM data with other data sources such as Google Analytics and financial data to provide actionable insights into your product performance. We think this is unnecessary and confusing to potential buyers.

Management 52

Management Sales Publishing Data Quality 52

Jet Global

FEBRUARY 29, 2024

3) Data Fragmentation and Inconsistency Large organizations often grapple with disparate, ungoverned data sets scattered across various spreadsheets and systems. This fragmentation results in the lack of a reliable, single source of truth for budget data, making it challenging to maintain data integrity and consistency.

Forecasting 52

Forecasting Reporting Data-driven Software 52

Jet Global

JUNE 9, 2022

Seamless Integration with Cloud Data Warehouse Targets. Expect simplified access to high-quality, extensible views of ERP data for reporting and analytics in a cloud-native destination. Expect simplified access to high-quality, extensible views of ERP data for reporting and analytics in a cloud-native destination.

Operational Reporting 52

Operational Reporting Reporting Data Warehouse Cost-Benefit 52

Jet Global

OCTOBER 4, 2023

. • Finance teams may find it challenging to gain insights from disparate data sources, hindering their ability to identify trends, risks, and opportunities on time. Addressing these challenges often requires investing in data integration solutions or third-party data integration tools.

Finance 52

Finance Reporting Cost-Benefit Management 52

Jet Global

SEPTEMBER 26, 2023

Data Integrity Maintenance: Data cleansing processes detect and rectify data integrity issues, such as duplicate entries or conflicting data. This proactive approach mitigates concerns regarding data reliability and fosters trust in the information.

Data Quality 52

Data Quality Reporting Management Software 52