Qualitative Business Analysis - QBA

Insights into the challenges & momentum of a firm's strategy & operational effectiveness

Behind every number on the balance sheet is a story into a firm’s operational strategy

The key to an unbeatable competitive edge is reading and understanding every story’s strategic context

The problem is bounded rationality - there's too much to read and not enough time.

Text is the hardest data medium to process, analyze, and distill - today's solutions are not domain agnostic, and can't scale

Qualitative Business Analysis (QBA) solves that problem with groundbreaking and fully automated Symbolic Artificial Intelligence


CIF Offers a Qualitative Framework for Business Assessment


QBA is powered by a new generation of Artificial Intelligence, namely Communication in Focus (CIF), that understand the context and semantics articulated by the executives during earning call conferences. CIF uses deductive reasoning to separate hypes from facts and focus on facts that matters to the numbers in the balance sheet and the income statement.

  • SiteFocus maintains a repository of 4000+ latest earnings call transcripts of all public companies.
  • QBA automatically analyzes every earnings call and auto-detect relevancies, context, and semantics..
  • QBA is a SaaS product, and the analytic reports are available for access interatively or via Web Service


QBA Interactive Reports

  • Retrieve by stock symbol
  • Retrieve by market sector (Energy, Materials, Industrials, Consumer Discretary, Consumer Staples, Health Care, Financials, Information Technology, Telecommunication Services, Utilities, Real Estate) with boolean search, and filter by key data and ranking
  • Download QBA report of your firm's recent earnings call in JSON format

What is contained in each report?

Single Quarter Analysis Report:

  • Donut graph showing the proportion of operation momentum, challenge, and work-in-progress
  • Heat-map showing relevancy of auto-discovered entity-relationships from context
  • Narratives supporting momentum, challenge, and work-in-progress entity-relationships

Multi Quarter Analysis Report:

  • Line graph showing changes of momentum, challenge, and work-in-progress over time
  • Heat-map showing relevancy of auto-discovered entity-relationships from context
  • Narratives supporting momentum, challenge, and work-in-progress entity-relationships


QBA Report Retrieval via Web Service

As a data source for Web Services, QBA disseminates its data to external data request over JSON based Web Service dialogue. This data is offered in raw data format. The purpose of this data source is to enable third party data analytics to take advantage of the original earning transcripts as well as derivatives from QBA’s deductive analysis. This enablement provides a rich set of context and semantics for data science teams to augment their work. Potential applications include textual data discovery, sentiment analysis, enrichment of data dictionary or ontology, and integration with customer’s data applications.

Application developers can use authorization-token and company symbol to submit request via the URL, and obtain data corresponding to the data elements as in the Interactive QBA Report.

QBA JSON Query - Interaction between client and server is RESTFUL, i.e., stateless. An external application initiates a QBA Query by submitting a JSON Web Service request with an URL using HTTPS Post protocol.