How can MIS help you design better dashboards for BI and data analytics?

Now a days BI / MIS is become more important due to more complex business process and multiple business verticals. Using BI tools to generate critical KPIs are more important as most of the business decisions are based on movement of KPI. As improvement in BI system (using AI and ML) now a days MIS also cover Forecast (prediction) based on historical data. This prediction are not always right but it gives idea to stakeholder about future progress about business to take critical business decision.

MIS is useful for taking rational decisions Based on few assumptions wherever required in interests of the organisation. Now a days , MIS in excel sheet is replaced by dashboard in large organisations.

MIS is another word for BI (Business Intelligence) and is widely used in conjunction e.g. BI/MIS. MIS is essentially deriving historical insights from data, and delivering to business, usually a form of static reports.

Management Information Systems (MIS) are sophisticated frameworks that manage and process data to produce meaningful insights for decision-making. By integrating technology, people, and business processes, MIS provides a comprehensive view of an organization's operations, enhancing efficiency and effectiveness. This system is pivotal in gathering, analyzing, and disseminating data, thereby serving as the backbone for strategic planning, operational management, and problem-solving across various business domains.

In my opinions BI and MIS are synonymous. Organisations now-a-days dont have a separate MIS function. Dashboard KPIs should be defined by business and not by MIS. The BI/MIS team, (and if there is a separate data engineering team), help in identifying where the data is going to come from, how the data needs to be transformed to create the KPIs and how the KPIs can be displayed in the dashboard

Here are several ways MIS can contribute to the improvement of dashboard design: Data Integration, Real-Time Data Access, Training and Support, Feedback Mechanism, Performance Monitoring, User-Friendly Interface. MIS professionals contribute significantly to designing better dashboards for BI and data analytics by focusing on data integration, quality, real-time access, user interface, customization, security, performance monitoring, scalability, feedback mechanisms, and user training and support. Their expertise ensures that the dashboards align with organizational goals and meet the specific needs of users across different roles and functions.

MIS plays a crucial role in clarifying and defining the objectives of dashboards for Business Intelligence (BI) and data analytics. By leveraging its capacity to analyze business operations comprehensively, MIS helps identify key performance indicators (KPIs) and metrics that align with business goals. This process ensures that dashboards are purposefully designed to focus on delivering actionable insights, facilitating informed decision-making and strategic business planning.

In my opinions BI and MIS are synonymous. Organisations now-a-days dont have a separate MIS function. Whether BI or MIS, to select the data from the right sources, you need business data stewards, technical data stewards to identify the correct data sources

An MIS streamlines the selection and preparation of data sources for dashboards by offering tools and methodologies for data aggregation, cleansing, and integration. It enables the identification of relevant data from diverse sources — whether internal databases, cloud storage, or external data feeds. By ensuring data quality and relevance, MIS supports the creation of a solid foundation for BI and analytics dashboards, which accurately reflect the organization's performance and market trends.

Through MIS, businesses can effectively choose and design dashboard elements that enhance data visualization and user experience. MIS tools provide insights into the most effective ways to present data, whether through charts, graphs, or tables, tailored to the specific needs and preferences of the audience. By analyzing user interaction data and feedback, MIS helps in selecting dashboard components that facilitate easy comprehension, interaction, and analysis of complex data sets.

In my opinions BI and MIS are synonymous. Organisations now-a-days dont have a separate MIS function. The UX (user experience) team in BI/MIS function is instrumental in defining the design of the dashboards

MIS is instrumental in the iterative process of testing and refining dashboards. It offers analytics capabilities to track usage patterns, user engagement, and the effectiveness of different dashboard elements. This feedback loop allows for continuous improvement, ensuring that dashboards remain relevant, user-friendly, and aligned with evolving business needs. Through systematic testing and refinement, MIS helps optimize dashboard design for maximum impact, driving better business intelligence and data-driven decision-making.

MIS is a big process, and It is necessary to have different skills to manage data, model and show dashboards aligned with the corporation platform. The communication skills with a holistic vision are fundamental skills to do a good Management Information System.

A key element of a "persistent data storage" is vital for any dashboards. This could be a datalake / warehouse / data mart. I strongly discourage creating dashboards directly on the source systems