Prospective Partner Profile - Market/Business Intelligence

We anticipate that this pack will appeal to organisations or service providers who are principally in the business of gaining marketplace or business intelligence. You may have products that help access and analyse intelligence, you may be a market research organisation or a specialist business intelligence consulting organisation. As a business intelligence specialist you will be keen to explore any new avenues for gaining fresh intelligence.

Optimice provides tools and methods for exploring business intelligence from a relationship/networks perspective. By looking through the ‘lens of the relationship network’ it is possible to identify new and novel intelligence that is largely invisible to conventional business intelligence tools. We have published the details of our approach with examples a comprehensive report on the Australian IT Outsourcing market. We have also written published a white paper entitled “Relationship Networks: A New Dimension for Business Intelligence” in a leading business research firm’s publication.

The use of this pack will largely depend on the particular requirements of the partner. The pack contains a license to our networking survey tool, which has the capacity to collect primary data for analysis. More regularly the data may already exist in a more traditional form, in which case we would be visualising and analysing the data as an extension of the traditional analytical techniques.

Case Study - Manufacturing Research

Context
A manufacturing research unit charged with assisting industry development in that sector

The Problem
The organisation had conducted a substantial manufacturing performance survey of 500+ Small to Medium size manufacturers in their region. While the survey results provided much of the expected categorical information it was not possible to see the relational associations between the attributes collected.

The Solution
Using the same collected data, an affinity analysis was conducted between the responses for each question. The relationships between attributes and their relative strength was displayed graphically on a network map for easy viewing and interpretation.

The Benefits
Traditional survey instruments are designed to capture and report on categorical information. Using network analysis and display techniques a whole new class of intelligence based on relationships was provided.

Case Study #2

Context
Market research of the IT&T sector in Australia

The Problem
Traditional market research is concerned with sales volumes of different product lines across different sectors and is categorical in nature. As with Case Study #1, insights about relationships between both buyers and sellers in the market are largely invisible.

The Solution
Using data mined from industry data bases and general news articles industry network maps were developed across several industry sectors. Analysis of these network maps provided new insights into vendor competitiveness, merger and acquisition impacts and buyer multi-sourcing strategies.

The Benefits
Traditional survey instruments are designed to capture and report on categorical information. Using network analysis and display techniques a whole new class of intelligence based on relationships was provided.

A detailed report on this research can be accessed from www.visualmarkets.net.

A Cutter Corporation Executive Report written by Optimice entitled:

Relationship Networks: A New Dimension for Business Intelligence is available from Cutter Corporation.

Deliverables

Some example tools and outputs are shown here:

The above map shows a market ecosystem of buyers and sellers transactions together with joint venture partnerships. The map gives a quick overview of who’s who in the selected market place.

Market place players can be assessed on their competitiveness based on their relationships. Those organisations that have a high number of unique relationships are clearly in a more competitive position.

Mergers and acquisitions can be evaluated by what relationships each party are bringing to the merger. Common connections may indicate an easier journey to integration. “Before and after maps” of competitiveness can be used to predict the potential impact of a merger.

The above map shows how media entities are related by common ownership. By using this ownership data it was possible to identify a single organisation that played a critical role in bridging key clusters of firms in the market place, making them an attractive takeover target.