Wizsm Management Insights Solution
Connect Data to Decisions.
Today, organizations have many demands on managers as well as on business and process analysts. Interpretation of business data and trends are critical success factors for an organization to remain competitive.
However, not all managers understand the available analytical methods, and may use incorrect approaches in analyzing the information, which results in incorrect decisions. This becomes costly and time inefficient. Very often, key learnings are not readily visible from standard organization reports.
The Wizsm Management Insights Solution is targeted at the everyday manager, providing contextual analytics to the displayed information through easy to use wizards.
The solution utilizes proprietary algorithms, to provide the management with an accurate and deep understanding of the required information. It combines quantitative and semantic analysis, to support quality decisions.
The Wizsm Management Insights Solution is built using Wizsm Insights, and incorporates a powerful graph database, relating relevant data and acting as a unified repository for information and analytics.
It provides the management an opportunity to explore the Organizational DNA. This allows for impact analysis using cause and effect relations, and correlation between different elements of the organization, such as objectives and initiatives.
Import Data from Multiple Systems
Automatic Discovery of Key Relationships
Quantitative & Qualitative Insights
Draw Clear & Targeted Conclusions
Solve Business Issues & Uncover Hidden Opportunities
Quick and Cost-Efficient Analytic Results
Wizard Driven Analytics
Although billions are spent on new information technology and analytic capabilities to help make better decisions, organizations waste 60% of that investment as the resulting analysis and insights generated are not tied directly to decision-making and business results. (Erik Larson – Forbes).
Investments into Insights do not always enable decisions
Billions are spent on new information technology and analytic capabilities to help make better decisions.
However, organizations waste 60% of that investment as the resulting analysis and insights generated are not tied directly to decision-making and business results.
This is a key issue facing managers as this disconect from decision led analytics hampers the strategic learning process which enables decisions.
This data-to-decision disconnect happens because bottoms-up analytics teams rarely generate analyses and insights that directly address the critical decisions facing their brands and businesses.
As a result, top-down decision-makers often ignore the analysis such that data-driven insights and recommendations only make it to the “decision table” 22% of the time, according to a GrowthAQ study (Forbes).