Optimizing Data Collection Processes to Enhance Primary Insights

CI organizations constantly seek new and innovative methods to elevate their service offerings and enhance their primary data collection efforts. The foundation of these services is rooted in a well-rounded base of trustworthy primary sources and news outlets. Finding these sources has always been difficult and today’s information and misinformation environment has only further exasperated the problem. Today, leading CI units are resolving this problem through using optimized data collection processes and partnerships with trusted primary data collection providers such as Fletcher/CSI.

In this information environment, finding reliable sources begins with evaluations that seek out and hone-in on high quality sources. This is followed by aggregating, prioritizing, and organizing valuable content, to identify foundational sources. These sources are expected to work collaboratively and synergistically, to optimize and enhance primary intelligence gathering to yield relevant and meaningful results

Data Collection Partner

A data collection partner should complement the primary intelligence collection by identifying existing and developing competitive concepts. Many aggregation services employ savvy artificial intelligence (AI) capabilities which can flag higher than normal alert volumes received in monitored subject areas. They can also or suggest content from related themes to create new data streams. These machine learning methodologies help the primary investigator assess any emerging trends while continuing normal monitoring.

AI can also help the CI analyst distinguish between typical or atypical competitor or industry movements. Additionally, they can help identify up and coming key opinion leaders, knowledge experts, reliable commentators and other potential information sources for the CI professional. AI can also detect directional shifts in competitive strategy that a series of singular alerts may initially overlook. Finally, when data is delivered and evaluated in as close to real time as possible, these combined resources may serve as a credible, early warning ‘alert’ system, something that is deemed of exceptional value and often sought after by many clients.

Why Use a Market Intelligence Platform?
-Comprehensive Monitoring
-Real-Time insights 
-Exhaustive list of sources
-Content undergoes a cycle of duplication, human curation, and tagging before being fed into a machine learning model to produce the best results

Astute primary CI professionals take these processes a step further, dissecting these information bytes, establishing connections, and subsequently reporting on implications relevant to the clients’ business priorities. The product of the data and customized insights are then transformed to a consumable reporting format to the appropriate audiences.

Harmonizing the right data aggregation platform with in-house primary CI expertise inherently provides a ‘double check’ or added layer of Quality Control. Using an iterative and collaborative model produces more confident recommendations & strategies for key stakeholders and consumers of your intelligence services.

What are the Key Benefits of a Market Intelligence Platform?
-Customized monitoring service
-Customized daily, weekly, or monthly intelligence reports allows your to make quick decisions
-Quick turnaround for highly sensitive information
-Ability to organize alerts y impact level, and add analytical insights 
-Access to quick easy-to-use, tailored monitoring using a laptop, tablet, or mobile device.

Use Case:

To maximize their time on the market for a key treatment asset, a specialty pharmaceutical manufacturer expanded into several therapeutic indications. As part of the product’s life cycle management, it was essential that they have a clear understanding of potential access obstacles that may arise during the expansion, especially given the new breed of alternative treatments quickly coming to market to compete. While undergoing normal monitoring and surveillance, new details were uncovered on the role of managed markets human resources. This was likely due to new legislation intended to apply pressure on manufacturers and better control pricing of costlier tiered medications. This organization had an immediate and crucial need to increase their understanding of specific areas of patient access.

While looking for additional knowledge while simultaneously seeking out best practices and approaches, data was collated and organized from both forward-facing and customized monitoring taxonomies This included processes for a time adjusted ‘look back’, or prospective analysis of insights, data, and trends. Results were extracted from industry related news, social media channels, political activities, published trade and medical literature, and any other relevant databases, to ascertain the most comprehensive, informed view of the current state of patient access and obstacles. While additional emphasis was placed on the expansion of enterprise-wide specialists across similar sized organizations, confirmation of these hiring activities was produced from primary intelligence gathered at predefined intervals.

Data was pushed to these internal stakeholders via notification-style alerts for time sensitive delivery of high priority content, and via custom built report formats and newsletters. During stage-gated alignment points, both the primary investigators as well as client stakeholders were empowered to modify the platform search criteria based on new areas of focus and latest organization requirements for improved data analyses at pivotal decision-making phases.

Collectively, this body of data and primary intelligence, delivered over a specified time period, provided critical background and the rationale for department heads to confidently approach their senior leadership in an effort to shift and reallocate human resources to accommodate the now increasing needs in patient access and financial support areas.   

In closing:

  • The totality of these data aggregation procedures should synchronize with existing primary CI workstreams and add to the power of internal expertise to yield well-formatted, actionable recommendations and achieve the desired results
  • Access to secondary source content should always derive from the most accurate and credible information streams, reflective of a platform’s quality output
  • The solution should have the capacity to aggregate, organize, and even prioritize, across an iterative, AI learning continuum

To uncover the full potential and experience the synergistic benefits of meaningful search, with AI enablement, in a customized platform working in harmony with your in-house primary data collection expertise, contact Fletcher/CSI, Inc at [email protected] or visit us at www.fletchercsi.com.

-Tina Witte, Project Leader, FCSI Life Sciences Practice Area