Magician Palladium

Are Spreadsheet Wizards Doing Data Alchemy to Transform Your Data into Intelligence?

Bigfinite Brings a SaaS Platform that Uses Big Data, Artificial Intelligence (AI) and Machine Learning (ML) to Capture Data in the Cloud via IoT Technologies

By: Daniel R. Matlis, President

Life-Science companies are obsessed with hording documents.  These documents are filled with meaningless data.

Axendia research shows that 85% of companies surveyed rely on document driven processes.

Much of these meaningless data are unstructured, untagged and untapped.  Data are spread across countless repositories. They are saved in PDF documents and spreadsheets, in portals, share drives and email systems, in ERP, QMS, LIMS, MES, and PLM in process control systems and historians, etc.

However, data, even Big Data, on their own are not enough.  What is needed is intelligence.  Intelligence can be applied to answering scientific questions about product or process changes and the potential impact to both the product and the patient.

Unfortunately, many Life Science companies are suffer from DRIPPPP_INATU_CLP_WaterDroplet_B

DATA

RICH

INTELLIGENCE

POOR

Data Alchemy is NOT the Fix for DRIP

Until recently, the challenge has been the ability to turn these vast amounts of meaningless data into actionable intelligence, while supporting compliance with regulatory requirements.

Magician PalladiumHistorically, transforming meaningless data into actionable intelligence required hordes of spreadsheet wizards performing data alchemy. Data alchemists would hoard, compile, purify, distill, and perfect vast amounts of meaningless data and turn it into quasi-actionable intelligence.  Often working with months old data, the job of a data alchemist is tedious, resource intensive and often non-reproducible.

What if you could throw your data into a qualified data lake and use every technology buzzword to transform it into actionable intelligence?

Can Big Data, AI, ML, Cloud and IoT Fix the DRIP?

bigfinite logoAxendia was recently briefed by Bigfinite management to learn how the firm’s platform can address Life Science manufacturing problems that cannot be easily solved with current solutions.

The Bigfinite team has deep experience in the Life Science market. “We are pharma guys building IT applications, not software guys building pharma applications,” noted Pep Gubau CEO and Co-Founder of Bigfinite.  In fact, the founders are successful serial entrepreneurs who have successfully brought multiple technology solutions to the Life Sciences.

The experienced team at Bigfinite brings a SaaS platform that uses Big Data, Artificial Intelligence (AI) and Machine Learning (ML) to capture data in the cloud via IoT technologies. The platform allows users to discover new ways to optimize processes, reduce manufacturing quality issues and support regulatory compliance, aimed at achieving ROI in months instead of years.

Data_Capture (002)

“Our goal is to be the global preferred supplier in providing simple solutions to the analysis and control complex needs of industrial processes in Biotech and Pharma, covering all the supply chain, from R&D to patient dispensing,” said Pep Gubau Co-Founder and CEO of Bigfinite. “By offering a SAAS application for industrial use, under the philosophy of “Industry 4.0”, that can be quickly implemented, without having to adapt or change the currently existing systems and with a customer ROI under six months,” he added.

“We have tried for years to develop fully integrated data models for Life Science manufacturing; it is an excruciatingly tedious and time-consuming effort. With Big Data this need goes away and we can use our data as-is, unstructured with no need to clean, structure or aggregated it,” commented Gilad Langer, VP of Business Development at Bigfinite.

“Bigfinite does not require any hardware, software, or infrastructure. The platform uses small footprint agents to capture data with a simple three-step system setup to stream your data into a qualified repository that can be securely accesses through the web at any time,” he added.

The platform is designed to adapt to different manufacturing processes with varying roles, targets and scopes. When AI and advanced statistics are applied to parallel activities, powerful insights arise through AI pattern recognition.

To support validation requirements, the platform continuously self-qualifies and ensures the traceability of the information and its data sources using built-in regulatory frameworks and Artificial Intelligence with specific algorithms designed for this purpose.

Supporting visibility across the global and outsources supply chain

Today, many manufacturing processes are executed across global sites and often outsourced through CMOs. Bigfinite provides the ability to create scenarios where the data model that has been previously designed on-site is used off-site on the CMOs generated data so it can be visualized and analyzed on-site by the product owner.

As a result, brand owners can achieve increased visibility, control and collaboration across manufacturing processes.

“A leading insulin manufacturer was able to connect their fill line in Russia to the Bigfinite platform remotely. It took one person on the ground, plus two via Skype 45 minutes from start to finish to connect the beDataFeeder and start streaming data…” said Langer

The Bigfinite platform currently offers the following solutions thought its Solution Store, with many more in development:

  • Smart Golden Batch
  • Predictive OEE
  • Intelligent DownTime Management
  • Condition Based Maintenance
  • AI Component Analysis

Summary

Many Life Science companies are Data Rich, Intelligence Poor.  Until recently, the challenge has been the ability to turn these vast amounts of meaningless data into actionable intelligence, while supporting compliance with regulatory requirements. Most organizations have relied on spreadsheet wizards performing data alchemy in an attempt to fix the DRIP.

Bigfinite provides a SaaS platform that uses Big Data, Artificial Intelligence (AI) and Machine Learning (ML) to capture data in the cloud via IoT technologies. This enables users to glean intelligence for data allowing them to discover new ways to optimize processes, reduce manufacturing issues, improve product quality and support regulatory compliance, aimed at achieving ROI in months instead of years.

While the company rolled out its first product for general availability in December, it already has several pharma clients using the technology and achieving tangible results.

Is your organization ready to transition from Data Alchemy to Data Intelligence?

Contact Axendia to create a road map to success.

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