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Glass Buildings

Extract
Transform
Load
(ETL)
Solutions

​For Data Migration

  • Migrating data from one system to another, such as moving data to a new database or transitioning to a new software platform.

  • Data may be stored in different formats or structures, making it difficult to migrate and ensure accuracy.

  • ETL tool can help extract, transform, and load data from the original system to the new system, while ensuring data integrity and consistency.

  • ETL tool can also help map data from the old system to the new system, ensuring that all necessary data is transferred accurately.

  • ETL tool can reduce the risk of data loss or corruption during the migration process and save time and resources by automating the migration process.

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Who Else Needs ETL Solutions?

Marketing team

  • Analyzing data from various sources, such as social media, web traffic, and email campaigns

  • Unstructured and stored in different formats

  • ETL tool can help extract and transform data into a unified format for easier analysis

Sales team

  • Accessing and analyzing customer data from multiple sources, such as CRM systems, sales databases, and website interactions

  • Fragmented and stored in different locations

  • ETL tool can help extract and combine data into a single location for easier access and analysis

Operations team

  • Managing and analyzing data from various sources, such as inventory systems, production databases, and supply chain management tools

  • Siloed and stored in different formats

  • ETL tool can help extract and transform data into a unified format for easier analysis and optimization of operations.

Finance/ Accounting Teams

  • Reconciling financial data from different systems, such as accounting software, bank statements, and billing systems

  • Complex and stored in different formats

  • ETL tool can help extract and transform data into a unified format for easier reconciliation and accuracy

An ETL (Extract, Transform, Load) solution is essential for companies that need to integrate data from various sources into a unified format, or to migrate data between systems.

With an ETL solution, companies can automate the process of extracting data from multiple sources, transforming it into a format that is consistent and usable, and then loading it into a target system. This process ensures that data is accurate, complete, and available in a timely manner.

An ETL solution can also help companies streamline operations, improve decision-making, and reduce errors that can result from manual data entry or processing.

Additionally, an ETL solution can help companies manage large amounts of data, including data warehousing and business intelligence applications.

Ultimately, an ETL solution can save companies time, reduce costs, and help them stay competitive in today's data-driven business environment.

Automate Studio

Excel solution for Data Stewards

Build powerful SAP-enabled Excel workbooks that enable business teams to get work done faster. 

A simple 3 step process of record, map and run allows business users to create scripts to extract data from SAP into Excel, make changes and corrections in tools they already know before validating and loading the data back into SAP.

Also used by many Enterprise customers for Data Cleansing, and to support migration to 
SAP S/4HANA. 

SAP Data Sync for ServiceNow

For Services and Ticketing 

SAP DATA SYNC FOR SERVICENOW.
SAP license compliant data extractor.
No-code tool for loading SAP data into ServiceNow.
Compatible with S/4HANA, ECC and all ABAP-based systems.

​

  • This is an ABAP add-on for SAP systems

  • Load data directly to ServiceNow using the Import Set API

  • Extract any table, view, CDS view or ABAP (ALV) report

  • Real-time updates for single records

  • No external access to SAP ("push" architecture vs "pull")

  • SAP license compliant, no Indirect Access risks

  • 15 minute installation, no prerequisites, zero coding needed

Data 360 Analyze

Summary

​

  • Handles Big Data — Rapidly processes billions of transactions, while allowing the organization to maintain existing investments in specialized business applications and systems.

  • Increases Business Agility — Flexible data management and analytic capabilities enable analysts to integrate multiple data sources and change business logic up to ten times faster than traditional tools.

  • Greater accuracy and faster analysis help decision makers anticipate trends instead of chase them.

  • Supports Continuous Business Control — Continuous monitoring exposes data anomalies and patterns to guard against risks and uncover opportunities for business improvement.

  • Builds Trust in Data Quality — Easy-to interpret, visual interface improves transparency into analytic logic and data, enabling analysts to generate, validate and communicate trustworthy results.

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