Novalytics – information that triggers action

Inspiration We all have dashboards, but we still can't take action on insights fast. The data remains siloed, stale, or backward looking. We were motivated by the vision that analytics isn't just about summarizing the past but also about foreseeing the future and initiating real-time action. Tableau Next, enabled by Salesforce Data Cloud and Slack, provided us with the capabilities to rethink analytics as dynamic, predictive, and fully embedded within workflows of everyday work.

What it does

Novalytics combines Salesforce CRM and Data Cloud into one source of truth, and then leverages Tableau Next to provide predictive insights and proactive notifications. Rather than sitting around for static reports, users get real-time signals, predictions, and suggestions right in Slack, where actual decisions are being made.

Core competencies:

Predictive dashboards for prediction and anomaly detection Slack notifications for immediate collaboration and quicker responses Smooth Salesforce CRM integration for pipeline, customer, and sales information Shifting teams from response reporting to action-taking

How we built it

.Integrated Salesforce CRM and Data Cloud into Tableau Next as the data foundation .Built predictive dashboards in Tableau Cloud, based on machine learning outputs .Utilized Python (pandas, scikit-learn) for model prototyping and brought results back into Tableau .Integrate Slack API and Tableau notifications to send real-time insights directly into workstreams .Iterated with several dashboard designs to balance complexity with clarity

Challenges we ran into

.Handling authentication and secure access for the provisioned Salesforce orgs .Enabling real-time synchronization between Tableau dashboards and Salesforce Data Cloud .Converting predictive model outputs into visuals that stay intuitive to non-technical users .Condensing a wide solution into a 5-minute demo while yet maintaining impact

Accomplishments that we’re proud of

.Built a functioning prototype that integrates Salesforce CRM, Tableau Next, and Slack end-to-end .Developed dashboards that extend beyond static visualizations into predictive, actionable insights .Successfully demonstrated how insights can be embedded into team workflows to drive measurable business outcomes

What we learned

.How Tableau Next's combined analytics platform can be expanded with Slack and Salesforce to provide contextual insights .Why it matters to build user experiences that make predictive analytics actionable and accessible .Strategies for balancing real-time data pipelines against visualization performance .Reinforced that data storytelling is as important as the technical modeling that underlies it

What’s next for Novalytics – data that sparks action

Integration with Einstein GPT for conversational, natural language-driven insights Scaling use cases across industries like healthcare, retail, and financial services Rolling out mobile-first dashboards to enable field teams and executives on the move Expanding predictive models, such as: P(Churn)=1+e−(β0​+β1​x1​+β2​x2​+⋯+βn​xn​)1​ where whe xi are features like customer engagement, transaction history, and service usage.

Built With

• apis
• control
• data
• datasets
• github
• integrations
• model
• predictive
• preparation
• preprocessing
• prototyping
• querying
• rest
• salesforce
• scalable-data-foundation-slack-api-?-integration-with-workflows-and-delivery-of-real-time-alerts-python-(pandas
• scikit-learn)
• slack
• sql
• structured
• tableau-next-?-single-platform-for-analytics-and-visualization-tableau-cloud-?-hosted-platform-for-interactive-dashboards-and-predictive-insights-salesforce-crm-?-customer-information-and-pipeline-management-salesforce-data-cloud-?-centralized
• version