InnoVision Enterprise Solutions

InnoVision Executive Education

Executive Education Programs offered to Corporates

Brief details about the module

Staying in tune with trends in businesses is essential for the success of any organization. Decision-making by capturing and analysing data is a megatrend that is disrupting the traditional approach to business, catapulting smaller and new businesses to challenge established players. This module will introduce participants to some of the most widely used predictive modeling techniques and their core principles. This module attempts to form a solid foundation of predictive analytics, which refers to tools and techniques for building statistical or machine learning models to make predictions based on data. Participants will learn how to conduct exploratory data analysis to gain insights and prepare data for predictive modeling, an essential skill valued in the business. The module will facilitate participants learn how to summarize and viowsualize datasets using plots & present results in a compelling and meaningful way.
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Decision Model Building using Data Analytics

Microsoft Power BI

Module Description Microsoft Power BI is a powerful business intelligence tool that allows users to create insightful visualizations and reports. Here are some key features and uses: Connectivity to Various Data Sources:
  • Power BI can connect to a wide range of data sources, including databases, spreadsheets, cloud services, and APIs.
  • Users can import data from sources like Excel, SQL Server, SharePoint, and more.
  Data Modeling and Transformation:
  • Power BI enables users to create robust data models by defining relationships between tables.
  • You can transform and clean data using the intuitive Power Query Editor.
Customizable Visualizations and Dashboards:
  • Create interactive visualizations such as charts, graphs, and maps.
  • Customize visuals to suit your specific needs, adjusting colors, labels, and formatting.
Collaboration and Sharing:
  • Share reports and dashboards with colleagues or stakeholders.
  • Collaborate on shared datasets and reports within your organization.
AI-Powered Insights and Recommendations:
  • Power BI provides automated insights based on your data.
  • It suggests relevant visualizations and patterns to enhance decision-making.
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Data Visualisation using Microsoft Power BI

Google Looker Studio

Google Looker Studio:
is a versatile platform that transforms complex data sets into user-friendly reports. Here are some key features and uses: Data Integration : Looker Studio allows seamless integration of data from multiple sources into a single platform. Users can connect to various data types using built-in and partner connectors.
Visualizations and Customization:
Create compelling reports with graphics, tables, and bar charts. Customize your reports by adding explanatory text, adjusting fonts, and choosing colors. Brand your reports with logos for a professional touch.
Collaboration and Sharing:
Share reports and dashboards with individuals, teams, or even the wider audience. Collaborate in real time, enhancing decision-making and insights. Embed reports on web pages for easy access.
Enhanced Storytelling:
Turn raw data into meaningful narratives using Looker Studio’s visualization tools. Explain data points effectively to clients by adding context and insights.

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Data Visualisation using Google Looker Studio

Data Visualisation using Tableau

Tableau is a powerful business intelligence and data visualization tool that has gained widespread popularity since its launch. Let’s explore its key features and common uses: Tableau Dashboards:
  • Dashboards provide a comprehensive view of your data through visualizations, text, and other elements.
  • You can create informative dashboards that present data as compelling stories, incorporate multiple views, and allow flexible filtering.
  • Copying dashboards or specific elements across workbooks is also straightforward.
Collaboration and Sharing:
  • Tableau facilitates collaboration by allowing users to share data in real-time.
  • Share visualizations, sheets, and dashboards securely with colleagues or stakeholders.
  • Quick collaboration leads to better data analysis and insights.
Live and In-Memory Data:
  • Tableau seamlessly connects to both live data sources and in-memory data.
  • Users can access data from various sources without restrictions.
  • Live connections enable real-time data exploration, while in-memory data extraction provides flexibility.
Drag-and-Drop Functionality:
  • One of Tableau’s standout features is its easy-to-use drag-and-drop interface.
  • You don’t need extensive coding knowledge; understanding the UI-based features allows you to create dashboards and analyze reports effectively.
Customization and Coding:
  • Customize reports by adjusting fonts, colors, and other visual elements.
  • If needed, Tableau also supports coding for more advanced customization.
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Data Visualisation using Tableau

Digital Marketing

With technology having taken giant strides in creating tools, technology, and devices that facilitate virtual interaction between the marketer and customer, digital marketing is now not just a choice but a compulsion for every marketer. 
Digital marketing itself has taken a quantum leap from the generic SEO, SEM, SMM, and Affiliate Marketing tools offered by Google, Facebook and social media companies to artificial intelligence-based tools offered by Wix, Canva, Ubersuggest, Zoho, Hubspot and Hootsuite. 
Facebook has created Metaverse, Amazon has created Alexa and Google has created Google Trends that can equip the marketer with unbiased, accurate and specific information about customers that is much needed to design a result oriented marketing strategy and promotional campaign. This course will be a blend of understanding the generic tools as well as new age tools, and also provide practical training on how to use them in real life scenarios to achieve the marketing and organizational goals.
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Digital Marketing

Finance for Non-Finance Executives

Financial Accounting imparts knowledge about the impacts of economic events, i. e., transactions in an entity on its financial state of affairs, earnings, and earning abilities. It helps participants to understand the concepts, processes, regulatory standards, etc. for identifying, measuring, recording and reporting transactions. It is considered to be the foundation upon which several courses in business management, such as Management Accounting, Corporate Finance, MIS for decision support system, etc. are built.
This module prepares participants to interpret and analyze financial statements for tasks such as credit and security analyses, lending and investment decisions, and other decisions that rely on financial data. This module explores in greater depth financial reporting from the perspective of financial statement users.
The contents of this module shall help business managers to meet such compliance. requirements, take decisions with long- and short-term ramifications, and effectively and efficiently discharge their stewardship role.

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Finance for Non Finance Executives

Organizational Behavior

Organizational behavior (OB) is a multidisciplinary field of study that focuses on understanding individual and group behavior within an organizational context. 
It examines how individuals, groups, and structures within an organization interact and influence each other.
This course’s focus is on gaining an in-depth understanding of the impact of organizational structure, organizational culture, and change on individual behavior at the workplace. Gaining experience and a perspective on these global implications should result in beneficial managerial effectiveness and performance results.

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Organisational Behaviour

 Sales Force Management

Developing the Sales Organization: Structuring and organizing your sales team. It includes defining roles, responsibilities, and reporting hierarchies.
Developing the Sales Strategy: Crafting a comprehensive plan that outlines how your sales force will achieve business goals.
Building a Responsive Sales Force: Fostering agility and adaptability in your sales team. This includes training, skill development, and staying updated with market trends.
Selling Formats: Choosing the right channels and methods for selling (e.g., direct sales, telemarketing, e-commerce).
Go-to-Market Strategy: Planning how your product/service will enter the market. This includes pricing, distribution, and promotional activities.
Territory Management: Allocating sales territories to team members. Balancing workload, customer density, and potential.
Personal Selling: Interacting directly with customers to understand their needs, educate them about products, and close deals.
Building a Sales Organization: Creating a culture of excellence, teamwork, and motivation within the sales team.
Sales Force Automation: Leveraging technology (such as CRM systems) to automate repetitive tasks, track leads, manage contacts, and analyze performance
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Sales Force Management
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