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On-Demand Webinars

AI-driven insights without the complexity! Empower your BI team to leverage no-code machine learning for faster, smarter decisions that drive growth.

Gain a competitive edge with predictive analytics - no data scientists needed. See how easy advanced analytics can be.

The New Paradigm for BI & Analytics: What’s Replacing Traditional BI?

The era of Descriptive Analytics is over. No-code ML solutions represent the next generation of business intelligence tools, enabling Business Intelligence and Data Analytics Agencies to access new revenue streams.

By driving innovation in the delivery of Predictive and Prescriptive Analytics solutions, these tools enable agencies to offer unparalleled insights to their clients. Simply plug your client data into pre-built ML models to generate deep insights and predictions on millions of dataset rows in minutes, not months!

No-code ML/AI platforms are revolutionizing how BI and Data Analytics Agencies create new value for their customers and regardless of their size or industry, agencies can now gain the power of Predictive and Prescriptive analytics. Barriers to accessing Data Science are now a thing of the past!

This paradigm shift not only democratises data analytics, making it accessible to non-technical data analysts and data scientists, but also translates into a dramatic cost reduction and a 10x to 15x increase in time efficiency.

​Speed and efficiency of data analysis directly correlate with your growth [along with your agencies’ success ;)]

Become a pro at data science without the need for deep technical expertise, but with all the power of advanced analytics at your fingertips!

Click here to watch on-demand now.

 
(Recorded: 28th May 2024)

No-Code Predictive Analytics Strategies & Use Cases for All Industries

This webinar focuses on practical applications and implementation of no-code predictive analytics, providing tactical advice for decision-makers rather than abstract concepts, directly from industry experts who have hands-on experience.

​Whether you’re from any industry, new to predictive analytics, or looking to enhance your existing strategies, this session will offer valuable insights and practical advice across a spectrum of business applications.

​Hosted by industry experts in business intelligence, including a BI expert with extensive experience in auto ML, they understand predictive analytics inside and out, making this session invaluable for business intelligence agencies.

​What will you learn?

​Applying Predictive Analytics: Seamlessly integrate predictive analytics into your business strategy, transforming raw data into actionable insights.

​Real-World Use Cases: Explore use-cases from various industries, including:

​1. Marketing Agencies: Improve ad conversions and campaign effectiveness.

​2. SaaS: Forecast ad clicks, sales, and customer purchase timing.

​3. Manufacturing: Implement predictive maintenance and demand forecasting.

​4. Telecoms: Predict churn and identify upsell opportunities.

​Cross-Industry Insights: Understand how predictive analytics principles apply universally, driving innovation and growth across sectors.

​Who should attend?

This session is designed for founders, C-level executives, data analysts, performance marketing professionals, and anyone keen on exploring the implementation of predictive analytics in their organization.

Click here to watch on-demand now.

 
(Recorded: 11th July 2024)

Boost Your SaaS Sales With (No-Code) Predictive Analytics

Building upon our last session’s broad industry overview, our next webinar zeroes in on the transformative potential of predictive analytics specifically for SaaS companies.

​Streamline your operations, enhance customer engagement, and boost your SaaS revenue by leveraging no-code predictive analytics. 

Here’s what you can learn from this webinar:

Improved Lead Scoring and Personalization: We’ll showcase how improved scoring models can elevate your conversion rates, and how personalizing customer experiences can deepen loyalty and satisfaction.

Reduced Customer Churn: Identify at-risk customers and get actionable prescriptions to retain them. By employing targeted strategies and personalized promos, you can dramatically improve your customer retention rates.

Rapid Deployment: Say goodbye to the challenges of traditional coding. No-code ML tools are designed to fast-track the implementation of predictive models to make make quicker, more informed decisions.

Cost Efficiency: With our no-code approach, the need for hiring data science experts is significantly reduced, allowing you to reallocate your budget and resources towards essential growth projects and process

​…and many more use-cases and applications.

​This webinar is not just about understanding the possibilities; it’s about equipping your SaaS companies with actionable insights and adaptive strategies for a data-driven future.

 

Click here to watch on-demand now.

(Recorded: 23rd July 2024)

Demand Forecasting and Beyond – (No-Code) Predictive Analytics for Retail

As a data analyst, marketing analyst, or part of a business intelligence team in the retail sector, you stand at a pivotal crossroads where every customer interaction can be the difference between a sale and a missed opportunity.

​We believe that integrating predictive analytics into retail strategies is no longer a luxury—it’s a necessity.

This session covers a range of predictive analytics use cases in retail, with a special focus on Demand Forecasting.

​Here are some key use cases:

​Demand Forecasting: Predict future sales to manage inventory levels effectively, reducing stockouts and overstock situations.

​Churn Prediction: Recognize at-risk customers early and implement strategies to retain them.

​Customer Segmentation: Identify distinct customer groups to tailor marketing campaigns and improve customer engagement.

​Personalized Marketing: Deliver personalized offers and recommendations to enhance the customer shopping experience.

​Price Optimization: Determine the best pricing strategies to maximize sales and profitability.

Click here to watch on-demand now.

(Recorded: 1st Aug 2024)

Essentials for Ecommerce & Retail: RFM, CLV, and Clustering with Predictive Analytics

We’re focusing on how predictive models like RFM (Recency, Frequency, Monetary), CLV (Customer Lifetime Value), and Clustering can enhance customer value and engagement.

Whether you’re just beginning your predictive analytics journey or looking to refine your strategies, this session will provide valuable insights to help you grow in your role!

Some more information on 3 critical models that can reshape your customer strategies and drive meaningful growth:

1. RFM Model: Know how to predict customer behavior by analyzing their recency, frequency, and monetary patterns to better target high-value segments.

2. CLV Model: Understand the long-term value of your customers, allowing you to focus efforts on those with the highest potential for profitability.

3. Clustering Models: Use machine learning to uncover hidden patterns in your customer data, enabling more effective and personalized marketing campaigns.

What You’ll Learn: Actionable Insights:

During this session, we’ll provide practical guidance on:

1. Customer Segmentation, 2. Maximizing CLV, 3. Optimizing Marketing with RFM Analysis, 4. Personalization through Clustering and much more!

Click here to watch on-demand now.

(Recorded: 17 Sept 2024)

No-Code Time Series Forecasting for Business Intelligence Experts

 

Hey BI expert, what if we tell you that you can now generate accurate forecasts (in just few minutes) without relying on data scientists or developers?

No-code time series forecasting provides deeper, actionable insights (predictive and prescriptive) and visuals without the complexity of traditional machine learning, making it easy to present to management.

All of that without writing a single line of code!

Learn how to prepare your time series data, along with techniques for importing data from various sources into a no-code platform.

We will provide a walkthrough on building a forecasting model without writing code and explore customization options to tailor the models to your specific business needs to provide you a more proactive BI approach.

Practical applications of time series forecasting:

Inventory Management: Project future inventory requirements with greater precision, ensuring supply chain resilience and cost efficiency.

Sales Projections: Equip your team with the ability to forecast sales trends, optimizing inventory and marketing efforts in alignment with predictive insights.

Resource Allocation: Anticipate peak demand periods and allocate resources dynamically, to maintain operational efficiency and customer satisfaction.

Click here to watch on-demand.

 
(Recorded: 02nd July 2024)

No-Code Binary Classification for Business Intelligence Experts

Interested in exploring the transformative potential of no-code Machine Learning (ML) and Artificial Intelligence (AI) tools in Binary Classification tasks? This webinar is for you!

​Join us to learn how to build binary classification models without writing a single line of code. Equip yourself with the knowledge and tools necessary to leverage the full benefits of no-code ML/AI, without the need for technical expertise.

​We’ll show you how binary classification can be applied to any industry data, from CRM to ERP to operations data, with real-world examples.

​Choosing the right no-code ML/AI tool is critical for BI agencies and teams, so enhance your decision-making processes and efficiency for your clients effortlessly.

​​Join us to take the first step towards transforming data into actionable, strategic assets with binary classification!

Click here to watch on-demand.

 
(Recorded: 11th June 2024)

What are the top 5 Predictive Analytics Models for SaaS growth in 2024?

Watch this webinar on demand to learn about how Predictive Analytics is shaping the next wave of SaaS innovation. SaaS companies are about to see a big change, thanks to predictive analytics — a smart way to use data to guess what will happen next. 

This webinar is a unique chance to learn how these smart tools can help your SaaS business grow without needing to know how to code. If you like planning ahead, love making choices based on solid data, and look forward to using the latest technology easily, this webinar is for you. We’ll show you how predictive analytics is easy to use and powerful for your business.

What will you learn?

  1. Predictive Analytics and why its relevant to SaaS

  2. Data sources and how to get up and running

  3. The key Predictive Analytics models in SaaS

Understand how these models deliver tangible value, informing strategic decisions and operational efficiencies from the onset.

 

Click here to watch on-demand now.
(Recorded: 09th May 2024)

How Can Marketers Lower Cost per Click (CPC) Using Predictive Analytics?

Know the secrets to dramatically lowering your Cost Per Click (CPC) while enhancing the effectiveness of your advertising campaigns. Watch this webinar on demand that sets you on the path to leveraging predictive analytics in your marketing strategy.

Every dollar of your marketing budget counts and predictive analytics emerges as the game-changer for savvy marketers aiming to optimize their advertising spend. This session is designed to equip you with advanced insights and practical tools to transform your approach to digital advertising.

What You Will Learn:

  • The Essentials of Predictive Analytics
  • Strategies to Reduce CPC
  • Real-World Success Stories
  • No-Code Machine Learning Tools
Click here to watch on-demand now.
 (Recorded: 05th May 2024)

How to Master Customer Lifetime Value with Machine Learning: Identify Churners, Predict Purchases & Maximize Profits.

Non-contractual customer relationships in e-commerce and retail pose unique challenges. Traditional CLV calculations struggle without direct subscription data, hindering revenue forecasting, marketing effectiveness, and growth.
 
In this webinar, you’ll learn:
 
Techniques for extracting actionable insights from transactional data using no-code machine learning models
 
Strategies to optimize marketing campaigns and predict customer behavior without relying on direct subscription data
 
Click here to watch on-demand now.
 (Recorded: 18th April 2024)