Archive

Archive for the ‘Social Media Analytics’ Category

Service [TAC] oriented Knowledge Engineering – Framework & Process

January 27, 2012 Leave a comment

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_KnowledgeEngineering_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.

Advertisements

Social Media for the Enterprise – Strategies for Maximum ROI

Social Media dynamism, science and working is unique and can be adopted to Enterprises that have their own community, they can on-board existing traditional engagement channels into Social media and offer an unique customer experience. There are always huge benefits in closing out a successful Social Media channel for enterprises. Simply the Science of Social Media can allow a definitive and a sea of change for enterprises who will want to pursue new ways of global outreach and engagement of customer communities.

There are frameworks, methodologies, practices and process systems created to add tremendous value to enterprises seeking to deploy Social media strategies, With the application of Social Media strategies and by incorporating the best practices honed; enterprises can now pursue providing strong value to their engagement models by providing the need driven, value based solutions over Social media. Enterprises have a list of priorities that they should achieve by deploying Social Media platforms; these priorities are scenarios in which they get the maximum return over investment. These scenarios are the traditional engagement methods that are packaged and deployed over social media platforms; with a global community and outreach like never before. Have listed below few of the direct, maximum yield Social Media pursuits that I could research and list.

Investment and Maximum ROI Scenarios.

Enterprise Collaboration Enablement
Enterprise Support Enablement
Social Media Monitoring & Engagement
Social Media Sales Enablement
Web Collaboration & Intelligence

For detailed insight, visit my other Blog

Jesu Valiant – 2011

Social Media Analytics – Top Applications

March 1, 2011 3 comments

Every organization and corporate house is participating in the Social Media; its come to a point where PR’s focus now are into Social Media. Social media opens a direct channel with the customers with their respective direct identities and hence more ownership and interactions and suddenly a new transaction channel with direct implications. Value of Social media channels now has made the most stiff-necked CEO’s bend down and deploy Social media strategists, this channel has truly emerged and maturing quite fast.

With the Social media becoming a business accelerator and Gartner identifying that Social Communications and Collaboration & Social Analytics as the Top 10 strategic technologies for 2011; the game in this space is heated and the market is lapping up every possible skill to make the most of this new front. With all the transactions and the buzz around the social web that is happening there is a an immediate need to monitor, record, analyze, model, gather intel over these transactions. The market now has hundreds of Social Media analysis companies rendering services and providing products, of these products there are a host of features on offing, only few however provide the comprehensive solutions.

At the first look every product looks similar and there is not much difference; when drilled down over product usage, product adoption, flexibility, rule sets, parameters, people & pages analysis, integrations, key social web performance indicators; there are only a few that surface to meet the demands. With not in any particular order the following are the ‘surfaced’ and recommended products.

Top Social Media Analytics Products:
Sysomos Heartbeat 2.0
Sysomos MAP
Edge3
Kontagent
Radian6 Dashboard
Radian6 Engagement Console
Alterian SM2
Attentio
DNA13
Fangle
Research.ly
Beevolve
Social Mention
CollectiveIntellect
ScoutLab
BrandsEye

Most Wanted Social Media Feature Lists:
Timeline Cohort Analysis
Funnel Analysis
Viral Optimizer & Analysis
Revenue Tracking
Traffic Source Optimizer & Analysis
Retention Workflows
Competitive Analysis
Geographic and Demographic Data
Key Influencer Identification
Key User / App / Page Engagement
Comprehensive and Spam-Free Database
Real-time feeds & captures of blogs, message boards and other types of unstructured data
Real-time analysis of blogs, message boards and other types of unstructured data
Comprehensive and constant web coverage
Social Media Metrics
Data Filtering and Segmentation
Workflow Management
Social CRM and Web Analytics Integration
Automated Sentiment Analysis
Historical Data
Listening Grid
Real-Time Coordination
Case Based Reporting
Complete Activity & Conversation History
Social Profiles
Integration and Interops Capability
Efficiency and Productivity

Jesu Valiant – 2011

%d bloggers like this: