So you want to become a Data Analytics Superhero?

30 min presentation and Demo of Ai-First technologies to enable you to create Data Analytics and Ai Predictions in less than 60 seconds.

What can be delivered by in <60 seconds?

• Business Consulting Executive Summary and Strategy from your data.
• Predictions with a % probability to convert, churn, buy, react, leave etc.
• Analysis of the most important drivers presented as dashboard.
• Ability to share insights rapidly with other users.

To become a successful analytics consultant, you’ll need a combination of technical skills, business acumen, and personal qualities. Here are 10 key skills to focus on, some of which can be automated with Ai:

1. Analytical and problem-solving skills
2. Strategic thinking
3. Business knowledge
4. Communication and presentation skills
5. Project management
6. Interpersonal and relationship-building skills
7. Data analysis and interpretation
8. Adaptability and continuous learning
9. Ethical and professional conductIndustry-specific expertise

Remember that acquiring these skills takes time and practice. Consider pursuing relevant education, certifications, and gaining practical experience through internships or entry-level consulting positions. Continuous self-improvement and staying abreast of industry developments will contribute to your success as a management consultant.

OR YOU CAN USE AN AI-FIRST APPROACH TO DO ALL THE MANUAL DATA ANALYSIS WORK AND FIRST PASS STRATEGY CONSULTING FOR YOU IN LESS THAN 60 SECONDS!

Using AI can be a powerful tool to enhance your capabilities and offerings and provide value to your existing clients and enable you to provide new consulting services to a growing market. This is especially valuable if you are already providing Business Consulting, Data Preparation, Tableau or PowerBI help, Manual Predictions, Strategy Consulting. Ai-First consulting is a new source of revenue at very little time and cost to your business.

1. Data analysis and insights: AI can help you analyze large volumes of data quickly and identify patterns, trends, and insights that may not be apparent to humans alone. This can assist you in making data-driven recommendations and informed decisions for your clients.

2. Predictive analytics: AI algorithms can be used to develop predictive models that forecast future outcomes based on historical data. This can help you provide your clients with forecasts and projections to support their strategic planning and decision-making processes.

3. Process optimization: AI can automate and optimize various business processes, such as supply chain management, inventory management, and customer relationship management. By identifying inefficiencies and suggesting improvements, you can help your clients streamline their operations and achieve cost savings.

4. Natural Language Processing (NLP): NLP techniques enable AI to understand and analyze human language. This can be useful for tasks such as sentiment analysis, customer feedback analysis, and contract analysis. By leveraging NLP, you can extract valuable insights from unstructured data sources, such as customer reviews or legal documents.

What kind of Use Cases is this approach good for?

• Inbound Sales Lead Prioritisation
• Sales Opportunity Focus
• NPS Optimisations
• Customer Lifetime value Impact
• Large Opportunity prediction
• Partner Revenue Optimisation
• Stock availability / stockouts
• Call centre routing
• Marketing Spend Optimisation
• Supply Chain Optimisation
• Predictive Maintenance
• Quality control prediction
• Customer Churn Identification
• Employee Churn Identification
• Internal Operations Optimisation
• Sports Injury Recovery Optimisation
• Crop Fertiliser Optimisation
• Health Indicator Analytics
• Strava route completion prediction
• Parkrun course prediction
• Mortality in Cattle prediction
• Student churn prediction