Focus on Results. Given today’s IT landscape, companies are often awash with mountains of data. The depth and breadth of data provides tremendous potential for performing a wide range of analysis. Rather than Boiling the Ocean, LatentView adopts a result-oriented, hypotheses-driven approach that provides timely, accurate and actionable insights and enhanced business value to our clients

Work with Existing Data. As a general rule in predictive analytics, the more the data, the better, as this enables the development of finely-targeted models for different segments. However, many companies delay their investments in predictive analytics until most of their major data issues are sorted out, many times resulting in loss of valuable opportunity to drive a competitive advantage. LatentView leverages various processes, tools and methodologies to deal with sparse, biased and imperfect data, while still delivering superior benefits for our clients

Balance Solution Complexity, Stability and Ease of Use. A complex model may have great predictive power, but less utility as an explanatory tool. In certain cases, greater complexity may mean lesser generalizability to new scenarios and data. LatentView’s model development and selection methodology helps balance these multiple pillars of stability, complexity and ease of use to meet differing business needs

Drive Continuous Improvement. Predictive Modeling is an intermediate step in an Analytics-driven improvement program. Beyond Predictive Modeling, LatentView helps its clients institutionalize a cycle of continuous improvement by designing rigorous testing paradigms that simultaneously test many different business strategies, systematically compare the outcomes, and evolve progressively better business strategies on an ongoing basis

Leverage the past but avoid cookie cutter solutions. While there are similarities in business issues that different clients encounter, no two client situations are exactly the same. While leveraging the learnings from a particular domain or industry, LatentView’s rigorous, hypotheses-driven methodology helps avoid canned, cookie-cutter solutions to unique problems