DataSelf Analytics is a business intelligence (BI) solution that helps businesses get more value from their Sage 100 data. It provides a wide range of features, including:
- Self-service reporting: Users can create their reports without IT assistance.
- Natural language query: Users can ask questions in plain English to get answers to their business questions.
- Data visualization: Data is presented clearly and efficiently through charts, graphs, and dashboards.
- Advanced analytics: Users can analyze complex data to identify trends and patterns.
- Data warehousing: Data is stored in a central repository for easy access and analysis.
DataSelf Analytics can be used by businesses of all sizes, and it is compatible with both on-premises and cloud-based deployments of Sage 100.
Here are some specific examples of how DataSelf Analytics can be used for Sage 100:
- Sales analysis: Businesses can use DataSelf Analytics to track sales trends, identify top-performing products and customers, and measure the effectiveness of marketing campaigns.
- Inventory management: Businesses can use DataSelf Analytics to track inventory levels, identify stockouts, and forecast demand.
- Financial analysis: Businesses can use DataSelf Analytics to track financial performance, identify areas of cost savings, and make better investment decisions.
- Compliance reporting: Businesses can use DataSelf Analytics to generate reports that comply with industry regulations.
DataSelf Analytics is a robust BI solution that can help businesses get more value from their Sage 100 data. It is a cost-effective way to improve decision-making, increase efficiency, and boost profitability.
Additional benefits of DataSelf Analytics for Sage 100:
- Increased visibility into your business: DataSelf Analytics provides a single view of your data, so you can see how your different departments and processes are performing. This helps you to identify areas for improvement and make better decisions.
- Improved decision-making: DataSelf Analytics makes it easy to ask questions about your data and get answers quickly. This helps you make informed decisions based on facts, not gut instinct.
- Increased efficiency: DataSelf Analytics can help you to automate tasks and streamline your reporting process. This frees up your time so you can focus on other important activities.
- Boosted profitability: DataSelf Analytics can help you to identify areas where you can save money or increase sales. This can lead to a significant increase in your bottom line.
What Is DataSelf ETL?
From the DataSelf website:
DataSelf ETL+ allows users to securely and centrally manage data extraction, transformation, and loading processes from all of their data silos – being on-premises, private and/or public clouds into MS SQL Server databases or data warehouses. This centralized administration capability dramatically reduces the configuration and maintenance of tasks such as data refreshes, changes to data mapping, and schedule changes.
DataSelf ETL+ (ETL Plus) is a modern and proprietary engine that powers self-service, secured, simplified, and customizable data consolidation leveraging modern and industry-standard technologies. Connects to data sources and populates data warehouses.
What’s New In DataSelf ETL v2023.07?
According to the DataSelf website:
Overall, the July 2023 release of DataSelf ETL+ is designed to make it easier for users to manage and customize their reporting solution. The new features focus on cloud data modeling, collaboration, troubleshooting, and intra-firewall configuration. Additionally, over 200 other enhancements have been made to improve the overall user experience.
- Cloud data modeling: This allows clients to add or change their reporting data model without the inconvenience of logging into their data source or to the DataSelf data warehouse.
- Improved collaboration: ETL+ now tracks user changes, including who, what, and when changes have been made. A new “multi-user mode” prevents users from accidentally overwriting someone else’s work in real time.
- New troubleshooting features: The “ETL Watchdog” component proactively notifies users of jobs that failed to run as expected. Expanded error handling includes an auto-adaption capability specifically designed to address changes to a source database column’s “data type”.
- Support for intra-firewall configuration: This allows clients to deploy ETL+ in an environment where the data warehouse is entirely behind their firewall.
- Over 200 other enhancements: These include faster data extractions, an improved user experience, enhanced handling of legacy and live data blending, expanded search capabilities, easier installation & upgrade processes, Azure AD authentication for MS SQL, and data extraction refinements from various sources.
For more information visit the DataSelf website.
