SnapLogic, the cloud connection company, announced today that it has expanded the data quality capabilities of its cloud integration platform with its Summer 2011 Release. SnapLogic now enables seamless data cleansing, data enrichment, and controls for data governance as part of its integration technology.
Historically, businesses have had to cleanse or enrich data via manual batch processing, or by pushing and pulling data out of heavy, on-premise tools. According to the Ventana Research Business Analytics Benchmark, when dealing with analytics, two thirds of organizations spend most of their time in data preparation rather than analysis.
With the increasing number of cloud-based applications and data sources, businesses can no longer afford to spend extra resources on data quality each time they add a new data source to their ecosystem. SnapLogic enables companies of all sizes to seamlessly incorporate data quality controls directly into their integration pipelines as the data moves between multiple, disparate on-premise and cloud-based systems.
News Highlights for SnapLogic’s Summer 2011 Release
· SnapLogic enables seamless data cleansing, data enrichment, and controls for data governance as part of an organization’s data integration architecture. All capabilities apply to a wide range of data types and domains and can be configured without coding,including:
o Matching and de-duplication – apply business rules when extracting data from a database, or identify and link duplicate records across multiple data sources
o Rules-based configuration environment – create cascading, expression-based data operations for performing advanced data filtering and then output filtered data to any number of destinations
o Data parsing and concatenation – extract data into individual components or merge individual data components into a single string
o Data standardization and cleansing – ensure data is standardized and data located in the wrong field is moved to the correct field. Standards such as proper syntax (formatting) and semantics (values) can be applied to improve data matching and ensure compliance with company standards
o Data enrichment services – correct and enrich global address data with census and geographic information to reflect local postal standards, change of address, demographics, longitude and latitude, and more
o Data governance controls – automatically separate and remove exceptions for human intervention and send notifications and alerts
· Additionally, SnapLogic is furthering its capabilities around big data and its high-performance run-time engine. The new release includes a leading NoSQL database, CouchDB, inside the SnapLogic Integration Platform, as well as the ability to leverage a new JSON Snap to help companies integrate large amounts of unstructured data. It also introduces in-memory optimization of data transformations, allowing increased performance and scalability without requiring upgraded hardware.