Service [TAC] oriented Knowledge Engineering – Framework & Process

Knowledge Engineering for Services [TAC]

All the data that is being gathered over every possible transactions reside in the databases. These transactional data amassed over time has the potential to yield a lot of intelligence and provide key insight into the major four areas of Business.  [a]-Product Analytics, [b]-Customer Analytics, [c]-Process Analytics.

Technology manufacturers need to evolve their strategy every time and stay competitive, they desperately need to understand the perspectives from a VOC – Voice of Customer.

TAC Centric Knowledge Engineering will make use of a varied a host of ‘technology and product BI companies’ and ‘BI as a service companies’.
There are three types of BI as a service offerings:
1. Generic BI platform capabilities (for example, online analytical processing [OLAP], reporting, analysis, data mining)
2. Application-specific offerings (for example, Web analytics, fraud analysis, risk analysis, benchmark analysis)
3. Combination of both application BI services & product specific analytics with a expert recommendations and consulting  [KE].

Knowledge Engineering will supply the all essential human expertise to build the knowledge analytics architecture based on the business case / SWOT and  conclude recommendations.

From a Services Industry perspective; I recommend pursuits be set over three specific areas. 1. Customer Analytics, 2. Product Analytics, 3.Process Analytics. This can help accelerate service excellence and optimize operations.

Product Analytics: Solutions that allow them to analyze across a series of product performance dimensions ‘end to end’ in the product’s lifecycle. Analytics over Product reliability, third party environments, bug impacts, causes to resolutions, escalations and factors, time to resolve, and maintainability requirements, while all the time focusing on lowering support lifecycle. Product analytics will bend the traditional value chain into a “feedback loop”; evolving into product intelligence.

Customer Analytics: Customer intelligence visibility, customer satisfaction RCA & recommendations, customers and prospects, customers’ likes and dislikes, cases history and trend, as well as future wants and needs, by consolidating customer information currently in multiple silos and mining information.

Process Analytics: Business Process Analytics provides drill-down and slice and dice capabilities from various perspectives for extensive process analysis and reporting. Derivations of general and specialist advisory based on analytics rendered over  historic and real-time data.

Knowledge Engineering Framework:

JesuValiant_KnowledgeEngineeringFramework

Knowledge Engineering – What it takes?
•    Enumerate, analyze, catalog, and suggest improvements to the core and support processes of the business unit.
•    Ability to assimilate and correlate disconnected and and articulate their collective relevance.
•    The ability to visualize and create high-level models to extend and mature the business architecture.
•    Technical knowledge over technologies covered in the product stack.
•    Importing, cleaning, transforming, validating or modeling data with the purpose of understanding or making conclusions from the data for decision making purposes.
•    Presenting data in charts, graphs, tables, designing and developing relational databases for collecting data.
•    Information management, relational database design and development, business intelligence, data mining or statistics.
•    Utilizes data analysis techniques or best practices and draw inferences and present comprehensive analysis.
•    Critically evaluate information gathered from multiple sources, reconcile conflicts, Decompose high-level information into details, abstract up from low-level information to a general understanding.
•    Prepare reports of findings, illustrating data graphically and translating complex findings into written text.

Do you have a pain point today and are you a technology product manufacturer? Reach out to me @ jesu.valiant@csscorp.com.

Thanks for reading.

Copyrights – Jesu Valiant 2012

*Logos in the Framework diagram belong to the respective owners. Here its to highlight and recommend adoption of these systems and tools to perform Knowledge Engineering.