Change is the new norm. In order to be competitive, agile and flexible we need to be prepared to continuously change our behavior and to improve the management of our customers’ expectations.
This creates tough challenges for all who must rapidly introduce new technology, new applications and new processes yet maintain, optimize and replace their legacy IT all whilst operating under increasingly tight budget constraints.
A change process typically starts with a planning phase where business cases are used to value, prioritize and to authorize appropriate solutions and activities. This is where problems usually start as input are normally based on an abstraction of current operational data, deemed appropriate at the time.
The execution phase tries to develop and implement solutions and manages quality, cost or time deviations from the plan. Deviations can usually be traced back to disconnects between the “planning data” and the “operational/execution data”.
At the end of the change process (assuming it has not been abandoned) some or all aspects of quality, cost and time are frequently not met. At this stage a review or audit is often triggered to determine lessons learnt, but again this data is often disconnected from the operational and planning data sets.
Change initiatives are fundamentally hampered by this data impedance. This probably sounds very familiar to those who are involved in the Optique project, however most enterprise change initiatives struggle to successfully rise to some of the following data challenges:
- Finding, accessing and querying relevant data sources across knowledge silos
- Validating data quality and data relevance
- Understanding the meaning of data
- Integrating and connecting the data to extract value and insights in a timely manner
- Enabling correct decisions to be made
Transform Factory aims to remove data disconnects between the various phases of change initiatives. This represents a paradigm shift away from conventional enterprise practice.
Data is the life-blood of Transform Factory. To gain benefit from the data we need it to be structured so that it is understandable by computers, hence our extensive use of ontologies for all our services. This semantic based approach allows us to lower operational risks, lower IT costs, enhance service quality and improve time to market for our clients.
Managing the complexity and size of relevant data sets is a primary challenge. We are delighted to be partnering with Optique to exploit their unique combination of capabilities into our ontology driven service management platform. Their cutting edge research in end user oriented query interfaces, scalable query writing, real time stream processing and query evaluation will allow our engineers to significantly reduce the time spent on data access & management across all our clients.
Jürgen Roos is an independent IT architect specializing technical topics, such as cyber security, DevOps, agile development and NoSQL, and the implementation of regulatory requirements. He is also the co-founder of Transform Factory LTD, where he is responsible for ontology-driven architectures and business development. Earlier in his career, Roos served as an IT consultant and managing partner of ScioByte GmbH and as an infrastructure engineer and product cluster manager at Commerzbank AG.