CDO Advisory / Data Strategy and Execution

A data strategy is developed to overcome the challenges identified in an organization's business strategy and mission goals. A good data strategy comprises of a set of policies and actions, to overcome difficult challenges the organization is facing. At AlyData we develop the "kernel" or the core of the strategy and an execution plan. The "kernel" has three components: (1) Diagnosis (problem definition or the nature of the problem), (2) Guiding Policy (what's our basic approach and decisions), and (3) Coherent action (what are we going to do?).

 

Data leaders are tasked to execute the data strategy. They use their domain expertise and relationships to break down data silos and unleash the power of data by deploying artificial intelligence solutions to enable innovation, new product development, and driving bottom line results. AlyData's Data Advisory Service and the Vision, Organize, Innovate, Change, and Execute (VOICE) methodology was launched to assist data leaders achieve their mission.

 

Typically, Big Data projects are launched to augment existing data stores and infrastructure.  AlyData advisors review the existing data architecture and major pain points - to gain an understanding of the current state, before embarking on the creation of a Strategy and Execution Roadmap that will unlock data silos and enable critical insights.  AlyData experts will train executives and staff on how to utilise the insights gained to gain a competitive advantage and achieve their mission.

 

During this process, AlyData advisors use project accelerators such as Architecture templates, questionnaires and data profiling utilities.

In order to succeed in their roles, CDOs must stay abreast of the latest developments in the fields of data management and analytics. AlyData's leadership is comprised of industry thought leaders in data management and analytics. We regularly publish books and articles on data-driven leadership and are able to deliver highly customized content and advisory services to our CDO clients, coupled with our strengths in developing detailed roadmaps and execution plans. 

What are the key trends, challenges, and opportunities with respect to data management, analytics and data science that may impact your business and influence your strategy? AlyData's industry research team culls this data through content analysis, survey results, and tapping into our Subject Matter Experts to provide perspectives and insights. These resources will help you answer the questions: What is the current industry trend related to data management, analytics, and data science? What are your CDO peers doing with respect to technology investments? What are your major companies/competitors in the industry investing in and why? How will machine learning and Internet-of-Things impact your business? What can you do to leverage open source tools to reduce costs and maximize productivity? etc. 

For organizations that seek to evaluate and improve their data management practices, CMMI® Institute has developed the Data Management Maturity (DMM)℠ model to bridge the perspective gap between business and IT. It provides a common language and framework depicting what progress looks like in all of the fundamental disciplines of data management, and offers a gradated path to improvement which is easily tailored to an organization’s business strategies, strengths and priorities.
 
AlyData uses the DMM model coupled with its proprietary assessment methodology, templates, and process maps to baseline an organization's data management maturity, identify strengths and weaknesses across 5 data management domains - Data Strategy, Data Governance, Data Quality, Data Platform and Architecture, and Data Operations. We also analyse an organisation's culture and develop a customised roadmap for success. Our research indicates that clients that perform regular DMM assessments followed by strategic investments in specific data management domains are far more successful with data, than their peers that aren't as disciplined.
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