What is data intelligence?
Data intelligence is derived value and insight extracted from data. Data intelligence fuels innovation. Data in core applications has enormous value from your business processes to your services, products, customers, orders, materials, invoices, etc. Application data may also include streaming, video, media, and be enhanced with data from other applications, edge data, purchased data, external data. Data intelligence is the application of techniques to extract value from structured, unstructured, streaming, internal, external data, and information in order to drive data innovation. Techniques used for data intelligence include data orchestration to cleanse, correlate, prepare, and integrate multifaceted data; machine learning to unlock hidden insights and new discoveries; metadata management and data cataloging to understand the data and its potential value.
What is SAP Data Intelligence?
SAP Data Intelligence is a comprehensive data management solution that connects, discovers, enriches, and orchestrates disjointed data assets into actionable business insights at enterprise scale.
It enables the creation of data warehouses from heterogeneous enterprise data, management of IoT data streams, and facilitates scalable machine learning. SAP Data Intelligence enables business applications to deliver the intelligent enterprise and provides a holistic, unified way to manage, integrate, and process all your enterprise data.
With SAP Data Intelligence you can:
- Discover and connect to any data, anywhere, anytime from a single enterprise data fabric
- Transform and augment data across complex data types and curate a robust searchable data catalog
- Implement intelligent data processes by orchestrating complex data flows enriched with scalable, repeatable, production grade machine learning pipelines
SAP Data Intelligence is depicted in the following figure. On the left you see that SAP Data Intelligence works with any data source: structured, unstructured, streaming. This could be data in various hybrid applications, spanning SAP and non-SAP. It enables reuse of existing hybrid processing engines and includes any type of data; from application data to streaming data to data external to your company such as social, weather, news, other data that can be used to maximize value.
SAP Data Intelligence first must discover, access, and prepare the data. Understanding, cleansing, and preparing the data can take valuable time and resources, reducing the time spent on innovating new data processes. SAP Data Intelligence provides simple connectivity, metadata crawlers, and advanced data preparation capabilities. This is the beginning of the ‘how to data intelligence’. The data can then be transformed and processed. The transformations can be typical ETL transformations, or use complex machine learning algorithms, or any custom transformation. Data is integrated and orchestrated across distributed landscapes and processing engines. All of this must be done at enterprise scale, from test lab environments to deployment, to training and re-training machine learning, to ensuring the data is unbiased, secure, protected, compliant, and trusted.
To learn more, see the data intelligence resource center at sap.com/dataintelligence.