PowerPoint Presentation

[Audio] For many organizations, understanding and managing data is the key to making better decisions. Sinergi 2.0 Data Governance provides organizations with the tools and guidance they need to secure their data and prevent unauthorized access. Our initiative promotes collaboration and security across departments, ensuring data quality and trustworthiness. Let us begin by looking at our customer training and onboarding process..

[Audio] Having a Data Governance Framework is essential to taking full advantage of data and achieving organizational success. This framework should include a Vision and Mission statement, as well as a team that is knowledgeable about the significance of data governance, its chief components and their respective roles. Additionally, it should incorporate a Data Quality Process to guarantee accuracy and timeliness of data. These components together constitute the indispensable structure and direction that will guarantee data success..

[Audio] At Sinergi 2.0, our mission is to harness the potential of our sales data by establishing and adhering to data rules, securing stakeholders' trust with reliable protection, and preserving data integrity. Data governance will enable us to detect and resolve data matters swiftly, empowering us to make informed decisions that will lead to effective action. Treating data with respect and giving it the same attention as any other asset is essential for our success..

[Audio] Data Governance is an integral component of our organization, with Sinergi 2.0 at the heart of it. This framework enables secure data sharing while promoting collaboration between departments and countries. Data Governance also provides mechanisms to ensure data quality, accuracy, consistency, and reliability, making our data trustworthy and able to be used appropriately and effectively to meet our organizational goals and strategies. By implementing Data Governance, we can make smart, evidence-based decisions that will benefit our organization and its stakeholders..

[Audio] As organizations expand and technology progresses, the necessity to maintain secure and accurate data is essential. Data Governance is the process of managing data as an integral entity with the organization to ensure it is accessible for decision making, streamlining operations, shared understanding, consistency, and transparency and accountability. Achieving superior decision making relies on quality data for successful strategies and forecasting. Streamlining operations enables efficient and effective handling of data. Through unified practices, the same approach to data application is utilized in the organization for a collective comprehension. To ensure the same standard is kept, standardization is key for trusted and dependable data processing. Transparency and compliance are both essential to uphold customer faith and meet industry regulations. Data Governance is an integral factor for any prosperous organization..

[Audio] Data Governance is an essential part of a successful organization. It determines directives and goals, sets standards and benchmarks, and evaluates results. It also defines roles and responsibilities of team members involved in data governance, as well as the authority to make data decisions and resolve conflicts. If properly organized, Data Governance assists in ensuring data quality, uniformity, and protection within the organization. To get a better understanding of how it works, let's explore the elements of an efficient Data Governance strategy..

[Audio] When it comes to Data Governance, defining purpose and objectives, determining council structure, identifying council membership, defining roles and responsibilities, establishing meeting frequency and agenda, as well as setting key performance indicators are all integral components. This will enable organizations to effectively manage data, maintain accuracy, security, and stay up-to-date..

[Audio] Data Governance is an imperative for the achievement of any organization, regardless of size. Consequently, it is essential to set up and characterize functions and duties for preparing, correspondence and the Data Governance Council. A Data Governance plan ought to be produced to outline the bearing and objectives for the association and ought to be set up in a way that is predictable and trustworthy. Quality information the executives is additionally basic to guarantee exactness and control. This is the place where information protectorship comes in; authorizing Data Governance approaches, overseeing basic information and guaranteeing information quality is key. These practices will empower associations to guarantee that their information is secure and its uprightness is kept up..

[Audio] We are discussing Data Governance and the ways in which it is implemented in Sinergi 2.0. This process includes Data Leads, Country Champions, and Data Stewards who are responsible for Data Compliance & Regulation, Stewarding; Data Quality Management; Cataloging, Profiling and Metadata Management, Training and Communication, Data Strategy and Audit & Reporting Specialists. Having a well-functioning Data Governance system is essential for successful deployment of Sinergi 2.0 as it can ensure the most efficient and transparent use of data..

[Audio] The Data Governance Council is an essential part of Sinergi 2.0, ensuring oversight and control of data. Its proposals ensure data governance is aligned with Sanofi CHC’s strategic goals, alongside quality measurement, managing errors and defects, and addressing quality issues across all data elements. The Council also provides meaningful data to CHC Global and Local teams, creating a robust and efficient data governance framework that brings value to our customers..

[Audio] The Data Governance Council is a vital component of the CHC organization, tasked with setting the mission and direction of data governance programs. It advocates for bringing the Data Governance Strategy in line with the Sanofi CHC Strategic Plan of 2023-24, and makes decisive rulings and superintends key elements like policies, procedures, data regulations, and data stewardship. Furthermore, it holds authority for the implementation of the Data Governance Strategy and related operations and guarantees adherance to applicable regulatory requirements..

[Audio] My role as Data Governance Manager is to ensure the smooth running of the data governance program, working with the Chairperson, departmental representatives and other key stakeholders to enable the organization to handle their data securely and compliantly. This involves formulating policies, procedures, standards, tools and resources that ensure the organization's data is managed in accordance with best practices and regulatory requirements. Furthermore, my aim is to ensure the data governance program reflects the organization's overall direction and strategy..

[Audio] Data governance is essential for any business to succeed. It provides increased visibility of data performance, helps to establish data objectives, and encourages collaboration between stakeholders. A data strategy should be developed to provide better data awareness and promote a data plan that corresponds to business goals. It is important to create a vision, strategy, and plan that will drive data excellence and push the organisation to reach its objectives. Furthermore, data performance should be highlighted throughout the organisation to ensure data governance is a successful tool for achieving success..

[Audio] Patrick is the Data Strategy Lead for the Data Governance project, an initiative that ensures the effective management of the company's data. Data Analysts ensure that the data is well-structured and offers meaningful insights to aid decision-making. Kaustubh, Digital Representative, employs technical knowledge to ensure the data strategy is compatible with the IT capabilities and infrastructure..

[Audio] Data Governance is the shared responsibility of all personnel in a company. It involves guaranteeing that your data handling practices abide by all appropriate laws, regulations and standards. This involves making sure that all data-related activities adhere to relevant local, national and global regulations. It also includes safeguarding data privacy by instituting and maintaining strategies that protect the privacy of individuals' data, according to existing privacy laws and regulations. Additionally, data security is essential. We should make sure data is secured from unauthorized access and conform to data security laws and standards. Finally, data utilization must abide by the laws and consider the rights of data subjects. When everyone in the organization is aware of these laws and regulations, we can make sure that Data Governance is maximized..

[Audio] Data Governance requires three key roles to ensure data security; a Data Security Officer, Legal Counsel and Digital Representatives. The Data Security Officer leads the team to ensure data activities are in line with laws and standards, while Legal Counsel offers advice on data compliance and privacy. Digital Representatives offer technical advice and aid in implementing data security measures. All of these roles are essential to guarantee data security..

[Audio] Data stewards are essential to our data governance plan. They promote communication between global teams, subsidiaries, and departments while providing an impartial outlook to problem-solving. Data stewards ask the correct questions to comprehend and take on data difficulties. With their input, we can ensure that all data questions are handled appropriately and expediently..

[Audio] Data governance is the framework that organizations use to ensure the accuracy, reliability, and security of their data. For data governance to be successful, it is essential to have the right team in place. This team should consist of a Stewardship Lead to guide the team, Data Stewards to manage specific data types, Data Analysts to offer insight and uncover issues, and Tech Representatives for technical support. All these roles are essential for a successful data governance program..

[Audio] Data Governance is essential for organizations that want to grow and evolve, to guarantee the uniformity of master data in numerous systems and platforms. Data Governance sets up, deploys, monitors and maintains the regulations that rule the way master data is produced, upgraded, managed and used. Moreover, it offers a way to manage global and local market definitions and standards, and verify the quality of master data. Implementing Data Governance allows organizations to make sure that the product data accessible is of high quality and uniform..

[Audio] Data governance is a necessity for every successful enterprise. This slide outlines the roles and responsibilities of the personnel involved. The MDM Lead is responsible for the quality, consistency and security of master and reference data, and the MDM Analyst manages product masters and market definitions. Data Analysts analyze product groupings and market definitions, while generating reports. Tech Representatives provide technical expertise and support for MDM and RDM related activities, which are essential for the efficacy and efficiency of data governance..

[Audio] Data governance is an essential part of any successful organization. Creating and maintaining a catalog of the organization's data assets and managing metadata to provide context for data are key elements of data governance. Data profiling helps us analyze data to understand its structure, content, and quality, while data quality ensures up-to-date data is available for users to find and use effectively. Lastly, fostering collaboration with stakeholders is essential to understand their data needs and help them use it to their advantage. These are just a few of the ways data governance can benefit an organization..

[Audio] The hierarchy established for data governance is key for our success. At its core, there’s a Lead who guides the team, a Programmer and a Tech Analyst, Ajay, from Solutionec who is experienced in data profiling, cataloging and metadata management. We also have a Business Analyst from Solutionec, Anush, who collaborates with both the business and tech team to understand their data needs and bridge the gap between business requirements and technical capabilities. And finally, a Data Analyst from Solutionec, Gagandeep, who offers support for the Tech Analyst and provides context for the data, helping to ensure data quality and usability. Setting up the right hierarchy will help us achieve our data governance goals..

[Audio] Accuracy, completeness, consistency and reliability of Sales data is the core of Data Quality Management. To meet this focus, it is essential to implement effective monitoring and evaluation processes to continually assess the state of data quality. Collaborating with Data and MDM Stewards assists in formulating data quality definitions and standards that align with organizational goals. Evaluation of data quality, producing reports in cooperation with operational functions, and recognizing key issues to be addressed are also paramount. Processes and systems have to be put in place to enhance data quality over time, and compile summaries of data quality for governance teams to provide a clear picture of the data quality status and any situations that must be tackled..

[Audio] Data governance is an essential element of any business. To ensure data used by the organization is accurate, current and up-to-date, Solutionec has set up a Data Governance team with four members: the Lead, Tech Analysts, Business Analysts, and Data Quality Analysts. The Lead spearheads the process and the Tech Analysts give technical support and knowledge. Business Analysts represent the many business divisions and make sure data quality needs of each are fulfilled. Data Quality Analysts do quality assessments and work hand in hand with the team to comprehend, study, and better data quality. The combination of these four components makes a successful data governance possible..

[Audio] Data governance is key for a successful business, beginning with training and communication. Building a foundation of data governance principles, practices and tools by educating stakeholders is pivotal. Considering the diverse needs of stakeholders and paying attention to their feedback is necessary to guarantee that all data governance initiatives prove successful. Change management is crucial for transitioning to new policies and practices in a smooth manner. To succeed in data governance, it's important to work with stakeholders, and use their feedback..

[Audio] A successful data governance framework hinges on having personnel in the right roles. We collaborate with Solutionec to make sure we have the right people for the job. The Training and Communication Lead is responsible for managing the team and making sure the training and communication operations are running without a hitch. Training Specialists design and offer training programs, while Communication Specialists facilitate efficient communication. Change Management Specialists handle changes associated with data governance, prepping stakeholders and guaranteeing they are implemented without any issues. All these roles combined form the basis of an effective data governance framework..

[Audio] We'll be discussing Data Governance and Sinergi 2.0, tools which enable us to create, monitor, and manage data. Our job as data owners is to make sure that data is secure, robust, and compliant in order to give our customers trust in how their data is being handled. Sinergi 2.0 facilitates this process, allowing us to identify potential risks and take appropriate action quickly. Let's get started..

[Audio] Data Governance is essential in building a reliable platform for data quality and the prosperity of our Sinergi 2.0 project. It involves not only managing data as an asset, but also forming principles, rules and directives for creating, maintaining, utilizing and disseminating data. Establishing an atmosphere that appreciates data security and accuracy is also crucial. By setting up strict standards for data use and making sure all related to data governance are working in partnership, we can guarantee a safe and successful Sinergi 2.0 environment..

[Audio] We understand the importance of providing reliable data to our customers at Sinergi 2.0. To ensure this, we validate our data in three layers. We monitor data release dates versus expected release dates and also hold monthly meetings with external data providers to guarantee quality and timely deliveries. Additionally, any data issues are tracked and regularly monitored so that data quality remains our highest priority..

[Audio] To improve our business operations and commercial systems adoption, understanding the critical data items from both technical and business perspectives, as well as defining quality KPIs is essential for creating better data quality and fostering a focus on performance-oriented data. To this end, four key objectives have been set: to align on critical data items, define data quality, and measure quality progress. With this, we expect to be able to implement our systems more effectively..

[Audio] Data Governance is an essential aspect of any business. To realize the aims of Sinergi 2.0, it is imperative to accurately pinpoint and track crucial components such as product details, brand names, pharmaceutical forms, strength, seller organization, molecule, launch date, branded/generic, country, brick/nano-brick, and sales data. From the quantity of units sold to the channel and the sales amount, these variables have to be recognized and monitored to evaluate the effect of our choices. By determining the significant items for our business, we can make wise, well-considered decisions and move closer to attaining our objectives..

[Audio] Data governance involves many elements and this slide outlines four of the most important ones: completeness, availability, consistency, and compliance. To ensure completeness, we carry out a count check of the source records to make sure they are loaded into the target. Availability focuses on making sure the data is readily accessible and we measure this by using KPIs such as gap analysis between MDFs and source data. Consistency requires that sales are linked to MDM products, and to measure this, we use KPIs. Compliance requires following rules and regulations set by IQVIA and other providers and adhering to standardization, which is also measured by KPIs. It is also important to have a process for dealing with failed records to ensure an effective system of data governance..

[Audio] Data Governance strives to guarantee accuracy, completeness, and timely delivery of data. Sinergi 2.0 platform incorporates a system to watch over data quality. This table provides details on the data quality dimensions that we measure and the remedial actions to be taken in case of deficiencies. Close control of these quality metrics and taking corrective steps is imperative for delivering the best-quality data..

[Audio] Data governance is essential to ensure reliable and consistent data streams and avoid data issues. A frontline data governance strategy is necessary for any business looking to improve data accuracy and reliability, to prevent incomplete or missing data, wrong ATC/OTC, file/data format changes, value/volume variations, incorrect mapping, incorrect market definition, incorrect conversion factors, incorrect product/corporation groupings, pack standardization, data integration/MDM, and reporting..

[Audio] Data Governance is an essential part of any business' success. Establishing a framework of processes and procedures to collect, store, manage, use and protect data can ensure accuracy, security and availability of data. Sinergi 2.0A is a solution that leverages the latest technology to deliver effective and efficient data governance. This solution can create solutions that support business objectives and help reach goals. Thanks for your time and attention..