Helical Insight

Connect to CRM and sales databases via JDBC.

Create a dashboard with key performance indicators (KPIs) like sales revenue, conversion rates, and customer acquisition cost.

Implement row-level security to ensure sales representatives only see their own data.

Schedule automated email reports to be sent to sales managers daily.

Connect to accounting system via JDBC.

Use the canned reporting module to create pixel-perfect P&L and balance sheet reports.

Automate the generation and distribution of these reports to stakeholders monthly.

Implement role-based access control to ensure only authorized personnel can view sensitive financial data.

Connect to customer support ticketing system database.

Create a dashboard to visualize key metrics like ticket resolution time, customer satisfaction scores, and ticket volume.

Use self-service BI to allow support managers to create ad-hoc reports as needed.

Set up alerts to notify managers of critical issues, such as a sudden spike in ticket volume.

Connect to supply chain management (SCM) system database.

Create a dashboard to track key metrics like inventory turnover, on-time delivery rates, and supplier lead times.

Use data visualization to identify bottlenecks and areas for improvement.

Implement workflow automation to trigger alerts when inventory levels fall below a certain threshold.

Connect to marketing automation platform and advertising platforms.

Create a dashboard to track key metrics like campaign reach, click-through rates, conversion rates, and ROI.

Use A/B testing data to optimize campaign performance.

Automate the generation of weekly campaign performance reports.

Connect to HR information system (HRIS) database.

Create a dashboard to track key metrics like employee turnover, absenteeism, and performance ratings.

Identify trends and patterns to improve employee retention and performance.

Use data visualization to assess the effectiveness of training programs.

Connect to manufacturing execution system (MES) database.

Create a dashboard to track key metrics like production output, machine uptime, and defect rates.

Use data visualization to identify bottlenecks and areas for improvement.

Implement real-time monitoring to detect and address issues as they arise.