Pharmaceutical Industry Polpharma S.A.

Similar documents
: 20776A: Performing Big Data Engineering on Microsoft Cloud Services

Boston Azure Cloud User Group. a journey of a thousand miles begins with a single step

Microsoft Azure Essentials

Azure PaaS and SaaS Microsoft s two approaches to building IoT solutions

20775: Performing Data Engineering on Microsoft HD Insight

Azure ML Data Camp. Ivan Kosyakov MTC Architect, Ph.D. Microsoft Technology Centers Microsoft Technology Centers. Experience the Microsoft Cloud

Business is being transformed by three trends

Azure IoT Suite. Secure device connectivity and management. Data ingestion and command + control. Rich dashboards and visualizations

Cisco Connected Asset Manager for IoT Intelligence

Business Insight and Big Data Maturity in 2014

Responsive enterprise the future of the enterprise PERSPECTIVE

Digital Insight CGI IT UK Ltd. Digital Customer Experience. Digital Employee Experience

The Internet of Things Platform

Streaming Analytics, Data Lakes and PI Integrators

IoT ENABLED INTELLIGENT FLEET MANAGEMENT. Kalman Tiboldi Chief Business Innovation Officer

Industrial. Grundfos use case om Industry 4.0 Big Data cloud arkitektur for IIoT, predictive analytics og Rigtig Industry 4.0

SYSPRO Product Roadmap Q Version 03

Fast Start Business Analytics with Power BI

IDIOM PRODUCTS. Overview idiomsoftware.com 2-2, 93 Dominion Road, Mount Eden, Auckland 1024 IDIOM Ltd

Your Big Data to Big Data tools using the family of PI Integrators

DLT AnalyticsStack. Powering big data, analytics and data science strategies for government agencies

"Charting the Course... MOC A: Architecting Microsoft Azure Solutions. Course Summary

The value of CRM to the legal sector

Designing Business Intelligence Solutions with Microsoft SQL Server 2014

Transforming customer experiences through cognitive commerce

Digitalisieren Sie Ihr Unternehmen mit dem Internet der Dinge Michael Epprecht Microsoft GBB IoT

ARCHITECTURES ADVANCED ANALYTICS & IOT. Presented by: Orion Gebremedhin. Marc Lobree. Director of Technology, Data & Analytics

Jason Virtue Business Intelligence Technical Professional

White Paper: VANTIQ Competitive Landscape

COURSE LISTING. Courses Listed. Training for Cloud with SAP Leonardo in Connected Assets. 21 April 2018 (01:39 BST) Einsteiger.

Fujitsu Workplace Anywhere Delivering a service as mobile as your people need to be

An overview of ebecs. October 2017

Digital Transformation - What s Happening in Waste and Recycling Tech, Software, Cloud, Data, Mobile & Analytics?

Cisco s Digital Transformation Supply Chain for the Digital Age

Architecture Overview for Data Analytics Deployments

CONNECTED ASSET LIFECYCLE MANAGEMENT. ABB Ability Ellipse Performance orchestration for the power industry.

Driving Greater ROI From ITSM with The Future of SAM. Martin Prendergast, CEO Concorde

From Things to Value

REPLY COMPANY PROFILE

MANUFACTURING EXECUTION SYSTEM

Better information, better results siemens.com/xhq

Deloitte School of Analytics. Demystifying Data Science: Leveraging this phenomenon to drive your organisation forward

Powering the Edge to the Enterprise

Secure information access is critical & more complex than ever

Data Lake or Data Swamp?

Wonderware edna. Real-time enterprise data historian

IIoT Data Access with the PI System

Internet of Things. Point of View. Turn your data into accessible, actionable insights for maximum business value.

Extending Enterprise to the Edge

PERSPECTIVE. Monetize Data

IIOT Data Access with the PI System

Machina Research White Paper for ABO DATA. Data aware platforms deliver a differentiated service in M2M, IoT and Big Data

ThingWorx Manufacturing Apps

Microsoft Big Data. Solution Brief

Business Intelligence Strategy

The Internet of Things Wind Turbine Predictive Analytics. Fluitec Wind s Tribo-Analytics System Predicting Time-to-Failure

Fujitsu Workplace Anywhere Delivering a service as mobile as your people need to be

HPE Flexible Capacity with Microsoft Azure & Azure Stack

Innovate with Oracle Public Cloud Platform & Infrastructure Services

Using AT&T IoT Services to Broker M2M Data for Your Customers and Their Devices

Integrating MATLAB Analytics into Enterprise Applications

Microsoft FastTrack For Azure Service Level Description

Key Benefits. Overview. Field Service empowers companies to improve customer satisfaction, first time fix rates, and resource productivity.

Why Microsoft Dynamics NAV?

Why Connecting to the Internet of Things Project List

BullSequana S series. Powering Enterprise Artificial Intelligence

The Digital Utility. Point of View

Advanced Analytics. and IoT for Energy Utilities: The Path to a Profitable Future

IBM Sterling B2B Integrator

Embracing Disruption: Financial Services and the Microsoft Cloud

Steve Bryant-Brown Technology Mayank Nayar Program Manager, Azure Site Recovery. Will Rowley Cloud

Microsoft Monitoring and Operating a Private Cloud

The Right Tool For The Job

Situational Awareness Unlocking Interoperability + Holistic Decision Making via the IoT

International Shipment Booking System

GADD platform Overview

ERP Consolidation & Migration 5 Critical Steps to SAP S/4HANA Central Finance

Insights to HDInsight

PERSPECTIVE. Manufacturing the Next Industrial Revolution

CASE STUDY. Created Information as a Service Offering for Over 3.5 Million Product SKUs

Pentaho 8.0 and Beyond. Matt Howard Pentaho Sr. Director of Product Management, Hitachi Vantara

Process Visualization Solution

MEETS MOBILE MAINFRAME. Access information anytime, anywhere

The digitally coherent public sector

: Boosting Business Returns with Faster and Smarter Data Lakes

New Features Summary. Version 11 February 2017

Laboratory Information Management System Index

Comprehensive Enterprise Solution for Compliance and Risk Monitoring

TechValidate Survey Report. Converged Data Platform Key to Competitive Advantage

What's Shaping the Future of Enterprise Content. Management? JOHN O MELIA

Business Intelligence and Business Connectivity Services in SharePoint 2010 March 26, 2010

Limitless Creativity in the Cloud

ALFABET 9.12 WHAT S NEW IN. With Alfabet 9.12 you can: Risk mitigation planning & management ALFABET

Got Data Silos? Automate Data Ingestion Into Isilon In Support Of Analytics

20332B: Advanced Solutions of Microsoft SharePoint Server 2013

TECHNOLOGY PLATFORM STRATEGY

Event Driven Architecture for Real-Time Analytics

Accenture and Adobe: Delivering Digital Experiences Together

Cloud Automation a beginner s guide

Keep in touch. Establish a long-lasting relation with your customers.

Transcription:

Digital Transformation Specialists Pharmaceutical Industry Polpharma S.A. Case study

Problem Generic drug production is expensive and time consuming, and requires a lot of specialised equipment. Manufacturers must create, maintain and monitor a suitable production environment, and measure and report experiment results, periodically comparing them to a reference object. The challenge is not only one of managing biological complexity, but also of data handling and management. A manufacturer must gain and retain appropriate accreditations, and ensure the quality of the products they sell into an increasingly global marketplace. Polpharma wanted to explore whether a software based solution could help ensure the integrity and consistency of the data generated in their Research and Technical Development Department during the production of generic drugs. The solution must allow Polpharma to maintain high quality in production, while achieving an appropriate level of data management and data traceability for auditing and accreditation purposes. To satisfy Polpharma s high-level requirements, the solution must: Scale to meet the needs of the entire Research &Technical Development Department; Be intuitive and easy to use; Prevent data becoming corrupted, ensuring its integrity and coherence; Provide context to data entry, allowing the project and experiment IDs to be associated with experiment data as it is uploaded; Enable automation of data acquisition and further improvement of processes via the use of Machine Learning algorithms; Enable power users to gain insights over historical data by means of data sets, which can be readily queried. Polpharma Polpharma is the largest Polish manufacturer of pharmaceuticals and a leader in the Polish pharmaceutical market, employing more than 7,000 people. Polpharma actively operates in the markets of Central and Eastern Europe, the Caucasus and Central Asia. With 7 manufacturing plants and 7 R&D centres in Poland, Russia and Kazahstan, Polpharma is among the top 20 generic drug manufacturers in the world. Polpharma Group s portfolio includes approximately 600 products, with a further 200 in development. Polpharma is rated by the Institute of Economic Sciences of the Polish Academy of Sciences (PAN) as one of the most innovative companies in Poland.

Solution Our team was engaged by Polpharma to work on an Internet of Things (IoT) scenario, which involved using the Microsoft Azure IoT stack to monitor the temperature of laboratory refrigerators. We then collaborated closely with Polpharma and Microsoft, to enhance the existing solution. These enhancements show not only assets and their monitored values, but also the location of each asset on a floor plan. This allows users to identify assets more rapidly, and to observe correlations of asset location with temperature changes over time. After a short analysis at Polpharma laboratories, we built a proof of concept (PoC) solution, which enabled us to confirm that the proposed architecture was fit for purpose. Additionally, the PoC phase was designed to yield an order of magnitude estimate for the associated time and cost of implementing the full solution. The team Objectivity formed a team consisting of 2.NET/Azure Developers, a UI Developer, a UX Specialist, a Business Analyst, and a Project Manager. The team delivered the scope of the PoC in 11 weeks, consuming 74 person-days, including analysis and preparation of technical solution. Microsoft offers an Azure environment capable of addressing the customer s current issues and allowing for further growth, including Machine Learning capability. We turned to our partner Objectivity, a leader in solutions incorporating Big Data and IoT to discuss architectural concepts and potential solutions. Agnieszka Zimnoch Cloud Data Solutions Architect at Microsoft

Finally, Technical Architects from Objectivity proposed an architecture that accommodates future extensions and meets all of Polpharma s requirements. To save costs, the concept contains only those components that are needed at each specific stage of the project. Device Data Transfer Raw Data Processing Vi-CELL Metering Device IoT Sensor Data Entry Azure Website File Upload IoT Hub Stream Analytics Common Data Container Data Lake Store Messaging Storage Queue Processing Web Jobs Data Lake Analytics Processed Data Data Marts SQL USP Database DSP Database Analytics Database Quality Database Data management Azure Website Analytics Data Consolidation Data Factory Storge SQL Data Warehouse Presentation Dashboard Power BI Reporting Power BI Self service BI The architecture is flexible and is prepared for extension to large amounts of data (Big Data) as well as for the concept of the Internet of Things (IoT). It allows for successive addition of new data sources (both in the manual upload model and automatically if the device has such technical capabilities). Krystian Bień IT Business Partner at Polpharma Exel, PowerPivot Data update Event Handling Predictions Data Discovery Event Hub Machine Learning Data Catalog

The solution s architecture breaks the data flow into the following layers Device (device specific formats and protocols) Data transfer (manual or automatic data input, contextualisation, data integrity) Raw Data (original data files from devices) Processing (reading, cleansing and enriching data) Processed Data (data stored in data marts, correlations and insights) Analytics (data de-normalisation and modelling for reporting, and advanced analytics with machine learning) Presentation (reports, dashboards and self-service analytics endpoints) After processing, the data is stored in a secure managed cloud database that enables performance to be scaled on the fly without application downtime. To leverage self-service analytics and provide stunning interactive reports we have implemented a dashboard in Power BI. This offers the potential to gain insights from an experiment s results quickly and in a controlled manner. Krzysztof Stanaszek Senior Software Developer at Objectivity

To ensure cost effectiveness at the proof of concept stage, we agreed to implement only a subset of the final architecture. This was achieved by implementing the processing layer within web application logic, instead of using asynchronous Azure components as had originally been planned. Processed Device Data Transfer Raw Data Presentation Data Vi-CELL Data Entry Azure Website Common Data Container Data Marts SQL USP Database Reporting Power BI The technical solution delivered by Objectivity fully meets Polpharma s needs and enables: Data coherence, integrity of readings and association with contextual data; Increased quality through reduction of possible human errors; Process automation (data acquisition, processing and presentation); Business process optimisation (daily monitoring); Auditing and traceability of projects, experiments and samples; Further correlation of various data sets, wider analysis and drawing conclusions. File Upload 10 01 Storge Blob We created and configured an environment in Microsoft Azure that allowed us to construct our proof of concept architecture. The next step was to build the web application, which is used to upload measurement results to a cloud based data store (Azure Blob storage). The application also ensures that uploaded data is always tagged with appropriate meta data, including user name, equipment used, date and time, project, work order, and experiment details.

We understand that our clients need the solutions we provide to be easy and cost effective to support and maintain, so our developers created a Continuous Integration pipeline. This enables us to provision an environment in Microsoft Azure, and fully deploy a ready to use application within 15 minutes all via a single mouse click. I was impressed how fast Objectivity was able to understand the business processes and terminology and propose a technical solution to meet all the requirements. The PoC phase was really helpful, not only to understand how the solution will support our further growth, but also to verify our readiness for digital transformation. Piotr Zień Research and Technical Development Director at Polpharma Biologics

Certificates Awards Objectivity We are a value driven organisation enabling our clients to maximise their impact and results. We assist them in embracing new technologies and digital approaches. We hire experts to deliver only excellent solutions and have convenient location in the centre of Europe a short flight from every part of Europe. Our aim is to establish long-term relationships based on trust and become the supplier of choice. Contact us If you would like to speak to us about your bespoke software needs and how we can help, then please contact. Objectivity Ltd 9 Westwood House Westwood Business Park Coventry CV4 8HS United Kingdom phone +44 (0)2476 420000 fax +44 (0)2476 420001 info@objectivity.co.uk www.objectivity.co.uk