How You Can Use Predictive Data Intelligence to Drive Better Business Outcomes
The Informatica World Tour is in full swing and the Fall Product Launch is just a few weeks away. That makes it a good time to share what's next for predictive data intelligence. I’d also like to provide a sneak peek into some of the innovation we will be showing at the fall launch.
Data Intelligence Challenges
It can be challenging to transform massive datasets into intelligent analytic insights. But the rewards are significant — you can use these insights to improve customer experience, grow revenues and manage risk. To transform datasets, you need a data intelligence solution that can deliver a better understanding of the data. With the right solution, data consumers can ask questions like:
- Where did the data come from?
- Can I trust the data?
- Is this data relevant for my business need?
- Who else is using the data?
However, even with many data intelligence tools, we continue to run into challenges like these:
Slow data supply chains. Data consumers continue to spend more time finding and preparing data than actually using it! There are too many silos with unclassified and uncategorized data.
Low trust in the data. Due to a lack of context and insight, trust in the data remains low. Rigid documentation-based approaches can’t keep up and scale to modern requirements.
High data risk. The majority of consumers still don’t believe their data is being used responsibly. As a data consumer, how can you ensure you are using the data in the right policy context?
These challenges and others all point to why we need data intelligence to drive trust. Just like business intelligence delivers insights about our business, data intelligence provides us with insights about our datasets so that we can better manage and trust our data assets. This is because data intelligence encompasses data governance, data quality, metadata inventory and data lineage.
We also need to consider how we currently deliver data intelligence. That is to say, we need to expand our perception and understanding of data intelligence. We need to link data intelligence to data delivery. Otherwise, it becomes disconnected metadata that’s been manually stitched together with workflows. Linking data intelligence to data delivery should help data stewards, IT and data consumers with their next actions, so they can realize value faster. Linking data intelligence to data delivery should also drive engagement with the data and enable key business outcomes. So, what are our expectations and requirements when it comes to data intelligence?
Predictive Data Intelligence
Predictive data intelligence focuses on data consumption. One of the key components of a data intelligence solution is a data marketplace. This marketplace allows business users and data consumers to shop for data. Marketplaces deliver visibility for data usage along with the types and frequency of data requests. And it is this understanding that allows you to focus governance efforts on business outcomes.
So that end users can get relevant and trusted data faster, you need to connect this data marketplace. It should connect to a strong foundation of data governance, data catalog and data quality. And, as mentioned above, it should be connected to data delivery. Predictive data intelligence allows you to automate data delivery, from the source to the required consuming location or application. Another important point: data intelligence solutions should augment human efforts. They should capture consumption patterns and automate governance of the key artifacts. Informatica's cloud-native, AI-augmented predictive data intelligence solution helps you do just that.
From day 1, predictive data intelligence helps you empower business consumption of important data. That’s because CLAIRE, the intelligence in our Intelligent Data Management Cloud, is trained on large amounts of metadata and provides learning based on patterns from hundreds of data governance projects. This intelligence speeds up automation of classification, labelling and curation. And CLAIRE continues to learn from your organization-specific metadata. Meaning that these insights will become even more accurate over time. And data intelligence is provided in context. This makes data delivery to all personas — such as data engineers and data ops teams, for example — more effective as well.
Informatica’s unique Intelligent Data Management Cloud makes it easy for you to become a data-driven organization. It provides full data management capabilities. You can automate the process end to end, from data discovery and consumption all the way through to data delivery. And we offer all these capabilities through our innovative consumption-based approach to pricing.
Delivering Predictive Data Intelligence
Let’s take a quick look at some of the key Informatica cloud services behind our predictive data intelligence.
Cloud Data Marketplace. This is the one-stop shop where all data consumers can browse, find, order or request access to data. The cloud data marketplace:
- Offers context about data
- Provides insight into the quality of the data
- Enables the tracking of data from order through delivery while also monitoring usage
Cloud Data Governance & Catalog. Provides unified governance and cataloging capabilities across business and technical views. Its advanced intelligence and automation let you accelerate linkage across technical and business metadata.
Cloud Data Quality. Enables quick and easy identification of any weakness in your data. Also allows you to remediate any identified issues or concerns with data quality. Continuous data observability with integrated data quality scorecards.
Even better, you can leverage the cloud-native capabilities of Informatica predictive data intelligence from anywhere. Cloud data warehouse governance, data sharing, data quality and observability, and many more.
Fall Launch Sneak Peek
On November 17th we will host our Virtual Fall Launch. We’ll showcase some of our latest innovations around predictive data intelligence — but here are a few highlights of what’s coming:
Predictive data classification and quality insights
Infer new classifications by identifying data classification labels from your own data assets. You can remove prefixes, suffixes, and other extraneous sequences from technical dataset names. And you can detect anomalies based on profiling results and automate generate data quality rules based on these insights.
Automated data discovery and lineage for SAP
End-to-end data lineage for applications, databases, business warehouses and BI Tools in the SAP ecosystem. This includes SAP ECC, SAP S4HANA, SAP HANA DB, SAP BW, SAP BW4HANA and SAP Business Objects in Cloud Data Governance and Catalog.
Automated data access control for Snowflake
Use automated data classifications in Cloud Data Governance and Catalog to secure sensitive data elements data in Snowflake Data Cloud.
Register for these Meet the Expert sessions and the Fall Launch.