This principle says that data should be stored within one application and shared across the entire enterprise. Book One Life Principles. Integrating Data and Eliminating Silos Therefore, it is crucial to align everyone in your project team in a single direction. 6. The alignment of the four principles for successful data strategy is the foundation for establishing a manageable, meaningful change in the way that companies deal with data. These include all standard data management capabilities such as data sourcing and integration, quality and metadata management, data modeling and data governance. The 2020 Action Plan is designed to be cross-cutting and to support agencies in fulfilling a wide array of legislative and administrative requirements, while also prioritizing foundational activities for agencies in developing a mature data asset management environment. Core’s Integrated EHR platform, Cx360, allows for the improvement of the provider, consumer and payer relationship through increased consumer-centric collaboration which results in improved outcomes. 5. We believe these and other companies are making the right strategic choices based on the best information available at each point in time. Costing estimates have not been undertaken as part of this report and there is no source of funds. A data strategy is a common reference of methods, services, architectures, usage patterns and procedures for acquiring, integrating, storing, securing, managing, monitoring, analyzing, consuming and operationalizing data. This includes clarifying the target vision and practical guidance for achieving that vision, with clearly articulated success criteri… To manage this dynamic environment, the flows of data across systems and processes need to be organized in a coherent way. 3 / Dedicate and mobilize the right resources. This is important so that everyone within the enterprise has access to the data they need to do their job. Perform a quality check. Data must be managed to follow internal & external rules. The champion of the Data Strategy is the executive leader who will rally support for the investment. Some essential data strategy principles include the following. View data as a shared asset. 4 / Leverage insight on customers and competitors. “Strategies” are how we accomplish the goals. Second, companies should incorporate data governance as a part of other standard governance procedures as much as possible, including architectural review boards, audit and risk review processes, system development methodology, and security processes. He holds a PhD in computer science from MIT, and a MS from Yale University. They are designed to support data custodians, researchers and other stakeholders in taking decisions about safe and effective data linkage and sharing. Silos: complex policy, legislative, or service environments prevent sharing, accessing and using data. 1. – Ultimately, the implementation of a data strategy is not a project, it is an ongoing function of the company that must be governed. Core Solutions is the progressive leader in transforming the behavioral, medical and social services experience for behavioral health providers, consumers and state agencies. The Principles. Once you’ve established guiding principles, you can compare every data management decision to them to ensure that those decisions fit with your overall, long term data strategy. To conserve time, you might do the first guiding principle as an entire group and then use breakout groups to create the remainder of them. (adsbygoogle = window.adsbygoogle || []).push({}); Your email address will not be published. The first step of defining the business requirements is to identify a champion, all stakeholders, and SMEs in the organization. The guiding principles are a key element of the Data Linkage Framework for Statistical and Research Purposes. They are now moving their data lake to an Azure cloud environment to improve efficiency and reduce cost. Core Solutions Inc. 620 Freedom Business Center Drive Suite 400 King of Prussia, PA 19406 P: (610) 687-6080 Thus, as an important endeavor, your data management efforts should have a set of guiding principles. Why it’s important: A data quality management program needs to ensure that the quality of the data meets the business needs as otherwise resources are wasted for no value gained. 1. Whether you’re responsible for data, systems, analysis, strategy or results, you can use the 6 principles of modern data architecture to help you navigate the fast-paced modern world of data and decisions. Over time, a distinct governance body for data may disappear as it is fully embedded in other business governance activities. Ques. Note that technology is not the key to success — it is merely a supporting element in … We have found several elements of this model critical to successful governance. “Goals” are what targets we want to set. By 2020, there will be more than 50 billion … Data quality must be defined & managed consistently across the data … Data must have clearly defined accountability. Developing Your Data Strategy: A practical guide Gregory S. Nelson ThotWave Technologies, Chapel Hill, NC Abstract The ever-growing volume of data challenges us to keep pace in ensuring that we use it to its full advantage. Data Governance Guiding Principles . Challenges. The Core Principles that we came up with were: Data must be recognized as a valued & strategic enterprise asset. 7 guiding principles to jumpstart an effective data governance journey. 5 / Be bold, stay focused and keep it as simple as possible. Data strategy design principles; Strategic alignment; Part B – Enable; Part C – Enact; Credits; To derive value, the strategy acknowledges that we must address existing barriers to a data culture and take action to leverage the opportunities available to us. The alignment of the four principles for successful data strategy is the foundation for establishing a manageable, meaningful change in the way that companies deal with data. Paul brings decades of experience as a consultant to the nation’s largest companies. By capturing data that measure the outcomes of our actions, we create a closed loop that allows companies to use their data to test, learn, and improve their processes. Your information will not be shared. “Guiding principles” are how we want to operate. The primary focus of data quality management is to meet the data quality dimensions requirements of its business needs. Previously, Paul was founder and CTO of Tessera Enterprise Systems. Why Do You Need a Data Strategy? – For most businesses, data is an active asset that is captured, created, enhanced, and used in many business processes and applications. The 7 Principles of an Organizational Data Strategy, CORE Cx360 INTEGRATED BEHAVIORAL HEALTH EHR PLATFORM, CORE Cx360 INTEGRATED HEALTH AND HUMAN SERVICES TECHNOLOGY. Consider the seven principles of an effective organizational data strategy that will help improve care and make better decisions. Implementing several of the recommendations would require incremental resources. Storing all the data within one application is much cheaper and easier than storing it in different applications. Federal Data Strategy Leveraging Data as a Strategic Asset . We use a business architecture (not a technology architecture) to define core data capabilities that business and IT must create together. “Principles had a profound positive impact on my leadership style ” Reed Hastings “I found it to be truly extraordinary ” Tony Robbins “Ray Dalio has created the strongest culture I’ve ever seen in an organization ” Adam Grant “Remarkably engaging” Andrew Ross Sorkin. Data is Accessible First, the stewardship community is business heavy, with executive business data owners supported by business data stewards who report to them. 4: How do we govern data? Understanding the current and future needs of the business is instrumental to a sustained improvement of data quality. The first book tells … The article was well-received then and quickly outlines Data Governance Core Principles. For leading health and human services organizations that have access to complex data, it’s essential to define a data strategy that will help manage and utilize the information to both the organization and industry’s advantage. Third, it is important to launch data governance with a small facilitation team and some data governance related infrastructure, such as data quality, metadata, and lineage tools to provide visibility and measures to the data governance board. Some of the examples for business objectives / business needs: … Your email address will not be published. And finally, some feel that it’s a project that runs for a finite amount of time with a definite end date (wrong again).” Firenze continues, “A successful data governance framework implementation should be founded on the following guiding principles: (1) Information is an asset and should be viewed and managed as a valued resource. It is, in effect, a checklist for developing a roadmap toward the digital transformation journey that companies are actively pursuing as part of their modernization efforts. One way to accomplish this is to align with corporate strategic planning process as most organizations have a strategic planning process anyway. Data Strategy should align to business objectives and address key business problems / needs as the primary purpose of Data Strategy is to unlock business value leveraging data. In our work with Fortune 100 companies over the last 10 years, we have identified four principles behind a successful data strategy. The diagram below depicts three broad classes of core capabilities: data, insight, and action: Data capabilities are responsible for creating and managing usable, high quality enterprise information assets. 80% of ERP projects still fail to deliver the initially stated business outcomes (I feel like this number hasn’t changed for 20 years). Required fields are marked *. No. Because data is so ubiquitous, the governance structure must be federated, with a central governing body addressing the most important, common data, and most of the data managed locally in the lines of business. The principles below should guide every IT decision-maker on campus. What Are Some Essential Data Strategy Principles? Governance Develop a data governance program that monitors the implementation and compliance of key processes within the data life cycle, reviews periodic data quality reports, and educates stakeholders on data informed decision making. 1. Data asset strategy document compiled for each data asset 21 Data Asset Strategy Doc e.g. IT custodians ensure that the systems incorporate and monitor the requirements of the business. Make the Data Strategy incorporate some guiding principles to accomplish the data-driven vision, direct your company to select specific business goals, and be a starting point for data-driven planning across the company. These capabilities organize technology platforms and business processes based on their function in the ecosystem: capturing and creating data, cleansing and organizing it, mining business insights from it, and using those insights to drive intelligent actions in the business. This question may be asked in multiple ways but the essence of this question is: Is it worth it? Consider the seven principles of an effective organizational data strategy that will help improve care and make better decisions. Guiding principles align the organization’s decisions around common values and objectives. Four Guiding Principles to Maximize Analytics Insight from Your Data Flood By Ziya Ma, VP-Software and Services Group & Director-Big Data Technologies, Intel Corp. [NASDAQ:INTC] - We are in the era of data explosion. We identified 5 guiding principles of data management that apply to all types of business, big or small, B2C or B2B: Craft a Data Management Strategy; Define Ownership & Stewardship; Use Metadata; Ensure Data Quality; Maximize Data Use; Embrace these principles to avoid common data issues and launch successful data projects. Note that technology is not the key to success — it is merely a supporting element in the development of core capabilities. 6. Align your data priorities with your business needs – From time to time your data priorities will shift according to your business objectives. As the Data Strategy is designed to be evergreen, the list is not exhaustive and will naturally evolve over time, with further work and strengthened data governance. Insight capabilities include tools, data, and processes for management reporting and advanced analytics. VIEW MORE ENDORSEMENTS. Data must address specific business needs in order to achieve strategic goals and generate real value. Think of them as the foundation for data architecture that will allow your business to run at an optimized level today, and into the future. Guiding Principles/Roles and Responsibilities Information Technology Governance Information technology (IT) governance is a subset discipline of corporate governance which focuses on information technology and its alignment with business objectives and effective risk management practices. Why do we need a Data Strategy? 1 / Acknowledge that strategy delivery is just as important as strategy design. For many firms, the first attempt at a coherent data strategy is a daunting effort, with stakeholders learning each other’s language for the first time. 3: What is our data ecosystem? Unfortunately, often our response to new data sources, data types and applications is somewhat reactionary. To draft the guiding principles, take each of the value categories and create guiding principles, using the “We believe (value)… Therefore, we will… (behaviors)” format as a template. Data is Shared. This is accomplished through our ability to simplify the end-to-end HHS experience, deliver integrated care coordination, improve consumer engagement and streamline reimbursement processes. Incorporating certain data strategy principles into your plans can help give them direction and move the company toward its goals. Becoming a data-driven enterprise requires a plan and the right people, technology and culture. Knowledge is power – and in an industry that demands a higher quality of care, improved outcomes and lower costs, data can truly move the meter. Download the Guiding Principles. Data is essential to making and enforcing decisions regarding an organization’s information assets for enterprise effectiveness; Developing and documenting a common vocabulary for data in easily accessible glossaries and repositories is an important function for a data management organization These seven principles of data-driven transformation will help you successfully make the journey. Paul was formerly VP of Technology at Epsilon Data Management (an American Express company), and held senior technology positions at Thinking Machines and Schlumberger. Lack of appropriate data integrity, quality, and security can compromise the institution’s reputation and impede operational efficiency. Now, let us explore the 7 guiding principles to jumpstart your data governance journey. As our customers evolve, they are adopting a few guiding principles to navigate the complexity. Draft the guiding principles. Make the Data Strategy incorporate some guiding principles to accomplish the data-driven vision, direct your company to select specific business goals, and be a starting point for data-driven planning across the company. 2 / Accept that you’re accountable for delivering the strategy you designed. To get a data governance program started on the right path or have a course correction for one which is already underway, I believe the following 10 guiding principles should be followed: Data is a strategic enterprise asset and should be managed as such Ques. But over time, the common understanding of how data is vital to the business establishes an effective dialogue so that truly strategic initiatives can be launched that make every business process more informed and intelligent. This capabilities model can categorize thousands of applications and data repositories into 12 logical buckets which will guide their simplification and evolution toward a common strategic blueprint. Subscribe to our blog today to receive the latest insights, news and resources for the behavioral health and human services communities! No. Paul Barth is the managing partner and founder of NewVantage Partners. These principles align and focus the strategy, breaking initiatives into manageable projects with a measurable business benefit. The 4 Principles of a Successful Data Strategy, The Four Pillars of a Sound Information Strategy, 8 IT Strategy Tips for a Successful Sun Migration, Avoid Derailment — Tips for Successful Strategy Execution, The Successful CIO: It’s All About Leadership, The 9 Requirements for a Successful SOA Deployment, Getting Everyone On Board Your Data Strategy. Strategies and Trends for Information Technology Leaders. To avoid such problems, here are the top 10 guiding principles for Developing a Big Data Analytics Strategy for your Enterprise – 1. We respect your privacy. He is a recognized thought-leader and practitioner in leveraging information as a strategic asset and in emerging approaches and best practices in data management. Action capabilities provision data and business intelligence to applications, business processes and business partners, and capture responses to interactions. Principles are presented as questions that business and IT must answer. What's Inside Two Books in One. Data is an asset that has to be managed, and made available and accessible as an institutional mission-enabling strategic resource.