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Blog > November 2018 > Digital Transformation with ASG Data Intelligence

Digital Transformation with ASG Data Intelligence

Business Challenge

An important driver of digital transformation is the growth of new end points or devices leveraged by users to digitally engage with organizations and people.  The most common device of course is the smart phone.  Many organizations see value and opportunity in reaching customers through these mobile devices that they’ve begun a “mobile first” strategy to optimize this communications channel. 

Transformation projects that reach from the enterprise to far flung mobile devices must navigate a complex network of data and process flows to consider in building processes. These processes collect data and deliver responses to wide ranging customers including data optimization, application modernization and impact analysis.

Managing these important tasks successfully and efficiently creates a sound foundation that enables and empowers the transformation into a digital and information-based organization.

Data Optimization

Data is the key fuel of processes, which need to be defined, designed, implemented and measured. The data involved for the processes must be found, and the flow from origin to destination must be clearly understood.  Trying to build processes and engagement without understanding your data, knowing its quality and being able to track it from start to finish leads to an application that may not actually accomplish what you intended.

Examples could be presenting a potential customer with an offer for insurance with all the documents and descriptions, then collecting their vital identification numbers. 

Data optimization involves:
  • Managing the data inventory. Data is an asset – and some assets are more valuable in the digitally transformed enterprise, some less so.
  • Understanding the information supply chain. Data lineage is an important capability to identify and visualize how data flows from origin to destination.  The chain can be tracked from the data store to the consumer and back to the enterprise through applications and transactions.
  • Make information accessible.  Application developers and process designers must know what information is available to them, what it means and how to include it in applications.  Creating a business information glossary that is connected to data items provides a resource for their work, increasing the productivity of these important team members while also optimizing the engagement with customers.
  • Capture data needed for measurement.  Transforming without measuring success and defining how to improve is poor practice.  Organizations also need to identify the metrics, govern how they’re collected and make it available to business teams so they can identify opportunities for improvement.

Application Understanding, Transformation and Impact Analysis

Adapting and transforming your applications for new digital processes and devices is an important step in transforming your business. The monolithic nature of many long-established applications is an obstacle, and constant IT transformation leads to a cobweb of non-documented applications with hardly any updated skills to manage them.  Moreover, modern applications have a chain that interconnects with both inhouse and external applications, databases, data warehouses, etc., which need constant change due to the overarching dynamic requirements of the business. Restructuring and re-platforming may be urgent. However, changes will likely impact applications across the organization. And changes as small as the name of a column may prevent applications upstream and downstream from functioning properly. 

All transformation efforts that change data structures, applications, platforms or even end points must be managed carefully.  When adding mobile data collection, the fields and formats of data collected must fit into the current back end structure. Understanding and managing the impact of change requires that you:
  • Have visibility into the data structures and applications
  • Trace data as it flows through applications and map the steps and hops across the organization
These steps allow technical teams to extend applications to new mobile devices, leverage new digital techniques and follow changes through the IT infrastructure adapting other applications as needed or remaining consistent with current structures to minimize impacts and costs to the organization.

Economic Opportunity

Effectively managing digital transformation reduces costs from unmanaged change and unexpected side effects, enables new business models that can grow revenue, and provides more efficient connections to new mobile end points.

Digital transformation is not an option, it is a requirement as new technologies, growing reserves of data and increased user expectations force companies to rethink their business. A McKinsey study found that 92% of business leaders surveyed did not believe their current business model would survive the current wave of digital transformation. 

Digital Transformation with ASG Data Intelligence

ASG provides tools that help organizations manage digital transformation.  In particular, ASG Data Intelligence:
  • Provides a governance framework that makes sure that the right people have access to the right data for each business activity, increases confidence and trust in data and allows users to make better decisions, faster
  • Traces data lineage from origin to end user so that data flows are understood, changes can be managed and unexpected impacts eliminated
  • Automates these important tasks assuring currency and accuracy
  • Identifies and provides understanding of new data sources triggering new business opportunities
  • Identifies and notifies governance teams of change and visualizes data flows in easy to use reports

Success Stories

ASG customers continue to have great success with our Data Intelligence products.  American Fidelity Assurance, through improved data governance and stewardship, reduced 464 poorly defined instances of a data element to 12 well defined element, easing identification, understanding and use of the data. 
To learn more about our Data Intelligence solution, visit this page.
Posted: 11/19/2018 11:57:11 AM by Rob Perry