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How Ideas2IT Streamlined Data Access with AI & NLP for a Leading Pharmaceutical Giant

How Ideas2IT Streamlined Data Access with AI & NLP for a Leading Pharmaceutical Giant

Table of Contents

The core of our client’s data struggle

Business teams were often delayed by the complexities of data analysis tools. These users lacked the technical expertise to write complex SQL queries or navigate advanced analytical tools, creating a dependency on IT or data teams for insights. This reliance led to inefficiencies, delays in decision-making, and missed opportunities.Reports and data insights had to be manually created by IT or data teams, which added significant wait times to the decision-making process. This resulted in missed opportunities and inefficiencies across the organization.Non-technical users faced challenges with the complexity of the tools, making it difficult for them to access and understand insights on their own quickly. This led to frustration and a lack of agility in responding to emerging trends or market shifts.

Taking on the challenge

Our shared goal was to develop an intuitive, dynamic platform that would allow non-technical users to easily generate tables, reports, and visualizations based on natural language queries. This solution needed to simplify the data interaction process, allowing users to focus on insights and decision-making without the technical complexities.We aimed to create a seamless, scalable solution that integrated with existing data repositories while also fostering a culture of self-service data analytics within the organization. The solution would empower business users to generate valuable insights without waiting for IT or analytics teams, enabling more agile decision-making across the business.

Developing an efficient decision support system

Our solution leveraged Natural Language Processing (NLP) to convert plain English queries into structured database queries (e.g., SQL), making data retrieval accessible to non-technical users. The platform generated dynamic tables based on user input, presenting detailed data without the need for manual formatting or coding. Key features of the solution included:

Key Highlights:

  • Users could enter queries in simple language, and the NLP engine would automatically translate the queries into structured SQL commands, retrieving the relevant data.
  • The platform dynamically created tables displaying the requested data in an easily understandable format, streamlining the process of data analysis for business users.
  • The platform enabled users to visualize their data in various chart formats such as bar charts, line charts, and pie charts, making the data more digestible and actionable.
  • The solution integrated smoothly with existing databases and business intelligence tools, ensuring that data was accurate, up-to-date, and easily accessible across the organization.

Redefining decision-making efficiency

The implementation of the dynamic table generation platform transformed the organization’s decision-making process. Business units made decisions 2.5x faster as a result of quicker access to data and insights, leading to more agile responses to market shifts.

  • The platform’s intuitive design allowed non-technical users to independently generate insights using natural language, fostering autonomy in data-driven decisions.
  • The solution drastically reduced wait times for reports and insights, enabling business leaders to make timely, informed decisions without relying on data teams.

  • By reducing the need for IT and data teams to generate custom reports, the platform freed up time for both technical and non-technical users to focus on higher-value activities, boosting overall productivity.

  • With easy access to self-service data insights, stakeholders across the organization became more confident in using data to guide strategies and operations, leading to a stronger culture of data-driven decision-making.

The platform’s flexible architecture allowed it to scale as the organization’s data needs grew while also supporting evolving data structures and user requirements. It offered a variety of visualization formats, allowing users to interact with data in the way that best suited their needs.

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Case Study

How Ideas2IT Streamlined Data Access with AI & NLP for a Leading Pharmaceutical Giant

How Ideas2IT Streamlined Data Access with AI & NLP for a Leading Pharmaceutical Giant

Solutions Deployed:

  • Dynamic Table Generation Platform
  • Data Visualization

Vertical:

Pharma & Life Sciences

The core of our client’s data struggle

Business teams were often delayed by the complexities of data analysis tools. These users lacked the technical expertise to write complex SQL queries or navigate advanced analytical tools, creating a dependency on IT or data teams for insights. This reliance led to inefficiencies, delays in decision-making, and missed opportunities.Reports and data insights had to be manually created by IT or data teams, which added significant wait times to the decision-making process. This resulted in missed opportunities and inefficiencies across the organization.Non-technical users faced challenges with the complexity of the tools, making it difficult for them to access and understand insights on their own quickly. This led to frustration and a lack of agility in responding to emerging trends or market shifts.

Taking on the challenge

Our shared goal was to develop an intuitive, dynamic platform that would allow non-technical users to easily generate tables, reports, and visualizations based on natural language queries. This solution needed to simplify the data interaction process, allowing users to focus on insights and decision-making without the technical complexities.We aimed to create a seamless, scalable solution that integrated with existing data repositories while also fostering a culture of self-service data analytics within the organization. The solution would empower business users to generate valuable insights without waiting for IT or analytics teams, enabling more agile decision-making across the business.

Developing an efficient decision support system

Our solution leveraged Natural Language Processing (NLP) to convert plain English queries into structured database queries (e.g., SQL), making data retrieval accessible to non-technical users. The platform generated dynamic tables based on user input, presenting detailed data without the need for manual formatting or coding. Key features of the solution included:

Key Highlights:

  • Users could enter queries in simple language, and the NLP engine would automatically translate the queries into structured SQL commands, retrieving the relevant data.
  • The platform dynamically created tables displaying the requested data in an easily understandable format, streamlining the process of data analysis for business users.
  • The platform enabled users to visualize their data in various chart formats such as bar charts, line charts, and pie charts, making the data more digestible and actionable.
  • The solution integrated smoothly with existing databases and business intelligence tools, ensuring that data was accurate, up-to-date, and easily accessible across the organization.

Redefining decision-making efficiency

The implementation of the dynamic table generation platform transformed the organization’s decision-making process. Business units made decisions 2.5x faster as a result of quicker access to data and insights, leading to more agile responses to market shifts.

  • The platform’s intuitive design allowed non-technical users to independently generate insights using natural language, fostering autonomy in data-driven decisions.
  • The solution drastically reduced wait times for reports and insights, enabling business leaders to make timely, informed decisions without relying on data teams.

  • By reducing the need for IT and data teams to generate custom reports, the platform freed up time for both technical and non-technical users to focus on higher-value activities, boosting overall productivity.

  • With easy access to self-service data insights, stakeholders across the organization became more confident in using data to guide strategies and operations, leading to a stronger culture of data-driven decision-making.

The platform’s flexible architecture allowed it to scale as the organization’s data needs grew while also supporting evolving data structures and user requirements. It offered a variety of visualization formats, allowing users to interact with data in the way that best suited their needs.

Case Study

How Ideas2IT Streamlined Data Access with AI & NLP for a Leading Pharmaceutical Giant

How Ideas2IT Streamlined Data Access with AI & NLP for a Leading Pharmaceutical Giant

Solutions Deployed:

  • Dynamic Table Generation Platform
  • Data Visualization

Vertical:

Pharma & Life Sciences

The core of our client’s data struggle

Business teams were often delayed by the complexities of data analysis tools. These users lacked the technical expertise to write complex SQL queries or navigate advanced analytical tools, creating a dependency on IT or data teams for insights. This reliance led to inefficiencies, delays in decision-making, and missed opportunities.Reports and data insights had to be manually created by IT or data teams, which added significant wait times to the decision-making process. This resulted in missed opportunities and inefficiencies across the organization.Non-technical users faced challenges with the complexity of the tools, making it difficult for them to access and understand insights on their own quickly. This led to frustration and a lack of agility in responding to emerging trends or market shifts.

Taking on the challenge

Our shared goal was to develop an intuitive, dynamic platform that would allow non-technical users to easily generate tables, reports, and visualizations based on natural language queries. This solution needed to simplify the data interaction process, allowing users to focus on insights and decision-making without the technical complexities.We aimed to create a seamless, scalable solution that integrated with existing data repositories while also fostering a culture of self-service data analytics within the organization. The solution would empower business users to generate valuable insights without waiting for IT or analytics teams, enabling more agile decision-making across the business.

Developing an efficient decision support system

Our solution leveraged Natural Language Processing (NLP) to convert plain English queries into structured database queries (e.g., SQL), making data retrieval accessible to non-technical users. The platform generated dynamic tables based on user input, presenting detailed data without the need for manual formatting or coding. Key features of the solution included:

Key Highlights:

  • Users could enter queries in simple language, and the NLP engine would automatically translate the queries into structured SQL commands, retrieving the relevant data.
  • The platform dynamically created tables displaying the requested data in an easily understandable format, streamlining the process of data analysis for business users.
  • The platform enabled users to visualize their data in various chart formats such as bar charts, line charts, and pie charts, making the data more digestible and actionable.
  • The solution integrated smoothly with existing databases and business intelligence tools, ensuring that data was accurate, up-to-date, and easily accessible across the organization.

Redefining decision-making efficiency

The implementation of the dynamic table generation platform transformed the organization’s decision-making process. Business units made decisions 2.5x faster as a result of quicker access to data and insights, leading to more agile responses to market shifts.

  • The platform’s intuitive design allowed non-technical users to independently generate insights using natural language, fostering autonomy in data-driven decisions.
  • The solution drastically reduced wait times for reports and insights, enabling business leaders to make timely, informed decisions without relying on data teams.

  • By reducing the need for IT and data teams to generate custom reports, the platform freed up time for both technical and non-technical users to focus on higher-value activities, boosting overall productivity.

  • With easy access to self-service data insights, stakeholders across the organization became more confident in using data to guide strategies and operations, leading to a stronger culture of data-driven decision-making.

The platform’s flexible architecture allowed it to scale as the organization’s data needs grew while also supporting evolving data structures and user requirements. It offered a variety of visualization formats, allowing users to interact with data in the way that best suited their needs.

Connect with Us

We'd love to brainstorm your priority tech initiatives and contribute to the best outcomes.

From SQL Bottlenecks to Self-Service Insights: A Case Study in NLP-Driven Data Access for a Pharma Giant

One-liner summary:
Ideas2IT partnered with a Fortune 500 pharmaceutical company to build an NLP-powered data access platform, allowing non-technical users to query enterprise data using natural language. The result: 2.5x faster decision-making and a significant reduction in IT dependency.

The Problem with the Status Quo

The client had a vast internal data ecosystem, but business teams struggled to access it.

Users couldn’t write SQL, BI dashboards were rigid, and nearly every data request required IT or analytics support. This created long lead times for even basic questions.

The outcome: delayed decisions, missed opportunities, and underutilized data assets.

The company needed a new interface to its data that is something fast, intuitive, and usable by non-technical roles.

Where the Gaps Were

Operational bottlenecks included:

  • High reliance on data teams for simple queries
  • Reporting cycles that spanned days or weeks
  • BI tools with steep learning curves for frontline users
  • Fragmented access to data sources
  • Missed decision windows due to insight delays

Dashboard access was the difficult are than the actual dashboard creation itself..

What We Delivered

Ideas2IT developed a zero-code decision support platform that lets business users ask questions in plain English and receive instant answers, complete with charts and tables, within seconds.

Key Capabilities and Architecture:

  • Natural Language Interface: Custom NLP models translated English queries into SQL
  • Dynamic Table Generator: Queried data was rendered automatically into structured, analysis-ready tables
  • Auto-Visualization Engine: Users could generate visualizations bar, line, pie on demand, without writing code
  • Seamless Integration: The platform connected securely to existing databases and BI tools for real-time access
  • Scalable, API-First Design: Containerized architecture ensured enterprise-grade performance and scalability

The system enabled data access at the speed of conversation without compromising governance or accuracy.

Outcomes We Achieved

Capability Impact
Time to insight Reduced by 60 percent through real-time natural language queries
Decision-making speed Increased 2.5x across business units
IT and analytics load Decreased as self-service adoption scaled
Data trust and literacy Improved through accurate, integrated results
Visualization agility Increased with instant chart creation, no BI tool dependency

Business teams could now explore data, answer questions, and make decisions—without waiting in dev queues or struggling through complex tools.

Industry
Pharma & Life Sciences
Location
USA
Tech Stacks
Challenge

Business users struggled to extract insights, relying heavily on IT to run reports and queries. This slowed decision-making and stalled response to market changes.

Key Takeaways

  • Speed matters. Insight latency erodes decision-making and market response
  • NLP is not UX. It's an unlock for business users to interact directly with data
  • Self-service demands trust. Accuracy, access control, and integration cannot be compromised
  • Freeing data teams changes the game. Less time on report generation means more time for strategic analytics

Co-create with Ideas2IT

We show up early, listen hard, and figure out how to move the needle. If that’s the kind of partner you’re looking for, we should talk.
We’ll align on what you're solving for - AI, software, cloud, or legacy systems
You'll get perspective from someone who’s shipped it before
If there’s a fit, we move fast — workshop, pilot, or a real build plan
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Tell us a bit about your business, and we’ll get back to you within the hour.