New Trend in 2013: Integrating People and Processes

Loraine Lawson

People and processes will be a major integration trend in 2013, says Darren Cunningham, Informatica’s vice president of Cloud Data Integration. IT Business Edge’s Loraine Lawson sent out a Twitter message asking about trends in MDM, integration and Big Data. Cunningham responded by email with his predictions for 2013.

Lawson: What do you think will be the new data trends in 2013?

Cunningham: Master Data Management will catch fire in the cloud. While end users of SaaS applications like Salesforce CRM may not know (or need to know) what Master Data Management means, the emergence of SaaS silos and increased data fragmentation means that increasingly users are struggling with the need to cleanse, standardize and enrich customer data, and prevent duplicates when integrating across applications and sources. 

Cloud-based approaches to MDM will broaden the conversation beyond point-to-point cloud integration to cloud data management and ultimately help accelerate SaaS application and platform adoption in the enterprise.

Cloud deployment options will extend the universal reach of MDM. In 2013, there will be an increasing demand for cloud-based MDM approaches that deliver the speed of implementation and agility that the business expects, while ensuring tight interoperability and unification with broader, multi-domain (such as customer and product data) MDM platforms for enterprise-wide use.

Lawson: Long before you did MDM and all the other pieces of data management, Informatica specialized in data integration. What do you see for integration in 2013?

Cunningham: Integration will help broaden PaaS adoption. Platform as a Service (PaaS) has long been the domain of developers. Broadening PaaS to iPaaS, something Gartner and other analyst firms have written a lot about in 2012, will help broaden awareness and adoption within enterprise IT.

At the same time, cloud application and platform providers will continue to look for integration technologies that can be deeply embedded, with REST APIs, extensive connectivity and SDKS (software development kits) as well as re-usable templates for the most common use cases.


Also, with SaaS adoption accelerating and going global in the enterprise, integration will surpass security as the primary barrier to adoption.  If not considered early and often, SaaS silos will become SaaS sprawl. The good news is that, increasingly, IT architects are being tasked with building out a cloud data management blue print (as well as governance policies), which is helping to pave the way for SaaS sanity in the enterprise.

Lawson: There was a major push from vendors on the Big Data front in 2012. What will we see in Big Data for 2013?

Cunningham: 2013 will see a democratization of Big Data as we’ll see more tooling to make timely, relevant, and high quality data more accessible. Data scientists will continue to play an important role in the enterprise, but the bulk of the work to make Big Data useful is handled by the right approach to tackling the strategic requirement for better data integration and data quality.

The industry will also see an increased adoption of data governance initiatives as enterprises look beyond just technology to solve data inefficiencies. People and processes will become an integrated major theme in 2013 – giving rise to more templatized frameworks for how to effectively implement data governance.

Finally, businesses will take a step back from social media, where many of them plunged in without a clear business purpose, and thus are not seeing commensurate results. They will look at what they actually want out of social data and look for ways to combine it with other data in order to truly engage with customers and get a proper return on their efforts. This is where we’ll see an intersection of Big Data volume, variety and velocity with universal master data management (MDM).



Add Comment      Leave a comment on this blog post

Post a comment

 

 

 

 


(Maximum characters: 1200). You have 1200 characters left.

 

 

Subscribe to our Newsletters

Sign up now and get the best business technology insights direct to your inbox.


 
Resource centers

Business Intelligence

Business performance information for strategic and operational decision-making

SOA

SOA uses interoperable services grouped around business processes to ease data integration

Data Warehousing

Data warehousing helps companies make sense of their operational data