In my last post, we discussed the issue of hidden data and its impact on a company’s ability to make business decisions. Social media, free text fields and scanned documents all contain valuable information that is relevant to your business, but getting access to that data – which is contained outside of databases or buried across enterprise systems – is often the bigger issue.
Historically, data access and data quality have fallen squarely in the domain of the IT department. Today, however, that model simply doesn’t work. Enterprise IT teams are nowhere near as robust as they used to be and no longer have the time or the resources to serve every need of the business. The business analyst is the one person, who understands the meaning and usage of the data in context, they understand how and why the data changes over time and what those changes mean to the onging effectiveness of business processes. Providing access to the data to business analysts not only put the data in the hands of the individual who can utilize it to its fullest, but it also reduces the burden on IT.
To circumvent the dependence on IT many organizations are moving towards a self service data assurance model. The term “self service” has been around our industry for some time, but it has typically referred to the ability to self service at the application level not at the data level. The evolution of more intuitive front end user interfaces, for business intelligence tools for example, has made it easier for the business analyst to be more directly involved.
By allowing business analysts to self-service their data needs, these individuals can capitalize on the right combination of automation and expertise to get direct access to their organization’s hidden data. Self Service Data Assurance capabilities empower business stakeholders to take full control of mission-critical data across their organization, enabling them to accelerate business process improvement, comply with complex regulations, identify unforeseen risks, pinpoint emerging threats to their performance, and uncover new markets to grow their business.
The right data quality solution enables access, validation, analysis, and monitoring for self-service remediation. As ownership of data becomes the business user’s responsibility, the self-service model will become more and more critical. This is especially relevant as these users contend with an ever increasing amount of data. In my next post we’ll talk about the advent of Big Data and its impact on the data quality landscape.
Sr. Vice President, Marketing & Sales Support, Trillium Software
Len has been with Harte-Hanks for thirteen years and has more than fifteen years experience selling and marketing high-technology solutions. He is responsible for the strategic development and execution of worldwide marketing initiatives for Trillium Software. He created the Trillium Software System® brand that has been recognized as one of the top enterprise solutions in the data quality industry. Prior to coming to Harte-Hanks Trillium Software, Mr. Dubois was a Marketing Manager for Epsilon Data Management, Inc. He has spoken at Data Quality conferences in both the U.S. and UK. In addition, he has authored many articles on Data Quality and CRM.