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Displaying items by tag: insight management

Thursday, 29 April 2021 09:59

The Management Cockpit

What is the Management Cockpit?

The Wizsm Management Cockpit enables collaboration around the many individual views necessary to make effective decisions leading to timely and proper actions. It allows management to grasp complex situations quickly by integrating all the pertinent data which may be distributed across BI systems, Process Dashboards, and other Decision Management Tools. Besides giving a highly integrated visualization of complex interactions, it enables insight analysis either on-demand or in an automated fashion.

Wizsm enables managers to understand the implications of decisions by leveraging predictive analytics and collaboration with other managers or workers. Further contextual analysis using the Wizsm DNA Insights could show the interaction and effects to other contexts to avoid suboptimal decisions or interference/influence on intertwined contexts. For known decisions around normal conditions, the amount of analysis can be lower than emergent decisions around new experience situations. This analysis and collaboration will be completed in a more real-time fashion, shifting the organization's focus to responding quickly to meet threats or opportunities while maintaining business outcomes.

 Challenges to Deliver a Management Cockpit

Wizsm effectively manages the challenges around delivering a Management Cockpit.

First and foremost is the data. Often the data sources are not readily consumable as they are in Excel and PowerPoint, and the critical information usually comes from multiple technology and data sources. Much labor is used to condense data into actionable insights. This process is cumbersome, time-consuming, and error prone. Also, it is challenging to collate feedback, comments, and actions necessary from multiple management stakeholders. Managers also need to collaborate while finding solutions and making recommendations, especially in remote worker scenarios.

 Wizsm enables data collection from multiple data sources, and combines the same with managers feedback, comments, and action plans to deliver insightful content within the Management Dashboard.

Secondly, applying the proper insight analytics in the right sequence can affect the quality and timing. Without good insights, decisions are not optimal. Getting into analysis paralysis and not getting the proper overview for the management to base their decisions on can cause a significant delay in making and executing decisions. In the worse situation making the wrong decision entirely. The critical problem is that Business Managers need a way to gain insight into issues and challenges they face quickly. Those challenges may lie in the external landscape such as products, competition, market changes, sources of raw materials, storms, logistical problems, etc., or an organization's strategy, business processes, risks, etc.

Wizsm provides predefined Insights, which are available at the points of decision to enable optimal decisions.

Wizsm encompasses all the aspects of a management cockpit as under.

  • View Management:

View Management is where organizations can set up roles and associate a pre-architected view for each position. Of course, custom roles can be delivered as needed. Typically, these views indicate the level of detail and types in visualizations proven helpful. Of course, customizations can be made for individuals.                        

  • Visualization Management:

Visualization management contains the basic visualization that can be leveraged with types of data sources and analytical outputs. These components can be organized into a role view, dashboard view, or any other output form.

  • Goal Management:

Goal management contains the declaration of the desired business outcomes. These represent the stakeholder's take on performance success in terms of trends as well as detailed outcomes. Often tolerances and trigger points can be declared and set in goal management. It is also an umbrella outcome that aggregates critical performance indicators (KPIs) managed in Performance Management. 

  • Collaboration Management:

Collaboration management manages the individuals and or groups allowed to collaborate securely. CM will enable notifications, locations, time zones, contact numbers, and notes with permissions. Collaborations can be aggregated and published by the author, issue, stakeholder, etc. In some cases, knowledge bots/agents can be legitimate collaborators.

  • Action Management:

Action management will contain the typical responses to a decision, like changing an explicit rule, adding a new bot, change a process/system, keep a decision audit trail, keep a collaboration pattern for future efforts, kick off a new project, contact partners for changes, etc. 

  • Process Management:

Process management plays two roles here. One is the operational process that delivers the goals and outcomes daily. The other is to capture specific decision processes for future leverage and reusability. 

  • Performance Management:

Performance management keeps track of and highlights out-of-tolerance situations for known processes, systems, or integrations. It contains guardrails and rules for success. PM is where detailed KPIs are managed.

  • Insight Management:

Insight management is where all the insight analytic components are registered and described for future use. IM is also where successful combinations of analytics and AI are saved and documented for future use capitalization.

  • Automation Management:

Automation management is where the standard reusable low code implementations, microservices, audit procedures, etc., can be cataloged and described.

  • Secure Data Mesh:

The data mesh is where logical data views are dynamically linked to an event, patterns, operational, and archived data as the data/information engine that supports the management cockpit. The DM does not care if the data source is on the cloud, or it links across other data sources.  

Published in Wizsm