Employees spending 29% of their time on unproductive tasks due to poor data quality can really add up. How much? One recent Forrester survey found that over 25% of global data and analytics workers believe poor data quality costs their companies money, estimating losses that range from over $5 million annually to $25 million.
As a user who relies on critical SAP business data to make important business decisions, you want complete trust in the data and not be concerned about its quality or accuracy.
Data stewards and administrators need a solution that can check the data’s quality without breaking the bank so users aren’t wasting time with bad or outdated data. Ideally, this solution would also help you manage data quality costs as your business grows.
Data quality challenges
Like most data users, you want your data to be high quality and ready for use as soon as it arrives. However, monitoring data, detecting quality issues, analyzing root causes and fixing problems quickly are always challenges.
Most data quality solutions only monitor and validate a small portion of the data in a cloud data lake because they can’t scale to thousands of tables with hundreds of columns. This leads to poor decisions because of poor data quality, or delayed decisions and missed opportunities waiting to validate data needed for analysis.
This may explain why a recent Wavestone survey of data and AI leadership executives found that only 37% of CDAOs believe their efforts to improve data quality have succeeded. It also clarifies why an IDC PlanScape on Data Quality Management found that only 44% of users trust the data they use for reporting and analytics.
Collibra Data Quality & Observability with Pushdown for SAP works with SAP HANA, SAP HANA Cloud and SAP Datasphere to alleviate these concerns. It provides a more scalable, automated solution to ensure your data is prepared for crucial business decisions.
Collibra Data Quality & Observability with Pushdown for SAP HANA, HANA Cloud and Datasphere
Collibra Data Quality & Observability monitors your data cloud, allowing you to identify issues across data warehouses and pipelines quickly. With real-time alerts, you can resolve problems swiftly and ensure reliable data for informed business decisions.
Collibra uses Machine Learning (ML) to detect anomalies and auto-generate data quality rules. It improves productivity by centralizing and automating workflows to streamline data and analytics.
With the addition of Data Quality & Observability with Pushdown, our customers can minimize the data transfer and computing needed to run their data quality jobs. Instead of moving the data to a separate compute plane for processing, the system generates SQL queries that push the job directly to the data source, saving time and resources.
Data Quality Pushdown helps our customers streamline their data quality processes and fully utilize the cloud’s benefits without sacrificing performance or requiring additional infrastructure.
Here are six compelling reasons to choose Collibra Data Quality & Observability with Pushdown for SAP.
- Complete visibility into the quality of your data in your data cloud
Create a monitoring system for your data pipeline to identify issues and improve data quality. Find rule violations, detect unusual patterns and evaluate outlier values. Determine where problems arise and address them at the source. Maintain a clear view of your data’s quality and seize every chance to enhance it. Actively highlight data issues across your data cloud, making reliable data available for your users. - Your data doesn’t leave your data cloud
Collibra Data Quality & Observability with Pushdown for SAP works directly with your data cloud to improve data quality without moving your data from your warehouse. You can use Collibra’s simple interface to run all your quality jobs and processes on your data cloud servers. Your data stays in your data warehouse, allowing you to process it securely in the cloud without incurring egress fees. - Auto-scaling and unparalleled performance
Using native integration helps you process your data effectively. You can automate tasks and analyze data in real time to keep up with changes. By processing data in the cloud, you avoid extra costs and improve speed. You can also adjust your resources based on your processing needs, meeting business demands without slowing down performance. - Instant ML-generated adaptive rules
Collibra Data Quality & Observability with Pushdown for SAP uses machine learning to create adaptive rules, saving you time on rule writing. You can connect to any data source and quickly generate thousands of monitoring controls. This helps you spot issues like breaking trends and insufficient data before they go downstream.
Additionally, you can easily create custom rules using a built-in SQL editor. You can use templates to tailor rules for your organization and share them across different teams to enhance efficiency. - Reduced latency and no Spark dependency
Data Quality Pushdown & Observability with Pushdown for SAP creates SQL queries to process data directly at its source. This allows you to scan billions of records without needing to move data to Spark, which speeds up results and reduces reliance on Spark. - Data discovery and enforcement for compliance
Automate data discovery, validation and compliance with intelligent tags and hundreds of out-of-the-box industry-specific rules.
Improve data quality across your organization with reusable rules to save time and resources. Automatically discover sensitive data, enforce quality and act on broken records.
Getting started
Collibra Data Quality & Observability with Pushdown for SAP helps you make the most of your data.
- You can quickly monitor your data sources without coding, which helps prevent issues later on and leads to faster results.
- You will save time and money with features that give you complete visibility into your data quality.
- By securely running processes directly in your data cloud, you can achieve quicker results and better returns on your investment.
Unmatched benefits. Future-ready. Trusted by Fortune 500.
Check it out for yourself. Request a demo
Click here to read the factsheet about Data Quality Pushdown for SAP.
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1 McKinsey, Designing data governance that delivers value
2 Forrester, Data Culture and Literacy Survey 2023
3 Wavestone: 2024 Data and AI Leadership Executive Survey
4 IDC PlanScape: Data Quality Management
