Enterprise challenges demand enterprise solutions. This sentiment set the stage for our recent webinar introducing MapLab® Enterprise and its game-changing potential for organizations grappling with complex data workflows. It’s a solution designed to eliminate friction, accelerate decision-making, and empower teams across the organization to work in lockstep.
Below, we highlight key insights from the session.
The Challenge: Slow Insights and Fragmented Workflows
Common business workflows, such as identifying influential stakeholders or performing competitive analytics, often take three to six months to progress from data collection to actionable insights. Add in costly system integrations, proliferating analytics definitions, and inefficient handoffs across teams, and the result is a high-cost, slow-paced cycle that fails to meet organizational needs.
Enter MapLab Enterprise
Komodo’s solution is designed to streamline analysis, foster collaboration, and bridge gaps between business users and data analysts. The tool is designed for seamless collaboration across teams and functions, reducing friction and building trust.
The webinar highlighted the importance of effective HCP segmentation and cohort refinement to ensure that resources are allocated wisely and messaging is both impactful and relevant. We shared practical examples, such as refining cohorts to focus on HCPs who treat underserved populations or tailoring educational resources to providers who prescribe high-cost medications. These strategies lead to better alignment of outreach efforts with organizational goals.
What’s more, it reduced costs: some projects have seen a savings of up to 50% compared to traditional workflows, as confirmed by real-world use cases involving enterprise brand planning and product launches.
A Business User’s Perspective
1. Seamless Querying with Map AI
MapLab Enterprise’s AI analytics assistant serves as a starting point to answer key questions. It allows non-technical users to query the Healthcare Map® in natural language, so they can explore data without technical expertise.
2. Customizable Dashboards and Transparent Workflows
MapLab Enterprise enables business leads to move from raw data to strategic insights through customizable dashboards. Our demo featured a case study on GLP-1 drugs in the obesity market. The user effortlessly transitioned from defining cohorts to generating actionable insights in minutes, a process that typically takes weeks.
Additionally, each step of analysis remains connected. Insights gained at one stage can be shared across teams, eliminating rework and ensuring data integrity.
3. Streamlined Collaboration
The demo highlighted one of MapLab Enterprise’s defining features: its ability to cater equally to business and technical users. Teams can define goals, and data experts can execute advanced segmentation and analytics without starting from scratch. For example, a commercial lead can define specific cohort parameters and share with data scientists to refine analyses or execute advanced segmentation strategies.
This harmonization ensures a clearer strategy, faster execution, and a shared language for cross-functional teams.
A Data Analyst’s Perspective
1. Coding Capabilities With Familiar Tools
For data scientists, Maplab Enterprise embeds familiar coding environments like VS Code and Jupyter Notebooks directly into the platform. Analysts can use these tools to refine the parameters set by business users or build new custom segments from scratch.
2. Reusable Code and Enhanced Analysis
Maplab Enterprise ensures that all work remains interoperable. Analysts can access datasets created by business leads, perform advanced analyses in SQL or Python, and then push insights back to the business team for final delivery.
For instance, as demonstrated during the webinar, a data analyst can take the business user’s previously identified HCP cohort and perform deeper segmentation based on their patient populations (likely for obesity without type 2 diabetes) and prescribing habits. This provides further tailoring to the business user’s marketing strategy to different segments of HCPs based on their treatment patterns and preferences.
3. Scheduled Refreshes for Scalability
Data analysts can configure recurring updates for reports and dashboards, so that sales and marketing teams automatically receive updated information without manual intervention. This helps organizations adapt to dynamic environments, such as shifts in patient populations or product performance.
Collaborative Success in Real-Time
Webinar attendees witnessed firsthand how the tool:
- Tackles inefficiencies in workflows
- Empowers organizations with timely, actionable insights
- Reduces analytics complexity without sacrificing functionality
Through its customized functionalities, Maplab Enterprise bridges the gap between business and technical users. While business leads identify strategic goals and initiate exploratory analysis, data scientists build on these foundations to refine insights and conduct deeper segmentation. The result? A seamless workflow where both roles maximize their contributions to drive organizational success.
With MapLab Enterprise, it’s not just about technology; it’s about driving real business outcomes, improving collaboration, and making smarter, faster decisions.
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