Data Strategy
Is your organization working on data strategy? Does your data strategy align with business mission, goals and stakeholder needs?
We help answer these questions by working with stakeholders and formulating a holistic data strategy across multiple data disciplines. Knowing the business strategy, stakeholder needs, and developing a road-map to strongly position the firm for short term, mid-term, and long term needs are the key goals of data strategy.
Data Governance
A governance framework is mandatory if your organization wants to improve data quality, achieve operational efficiency, better data sharing, reduce costs and redundancies, and transform raw data into an asset.
We help design and implement data governance framework across the tenets of people, process, and technology to support business drivers such as Data Integration, Data Quality, MDM, Evidence-based policymaking and more. We use DAMA DMBOK, industry best practices, skilled professionals, and practical lessons from experience.
Data Quality
Are business decisions based on reliable data? Are you measuring the quality of your data?
For decisions to be effective, the underlying data needs to be accurate, complete, and timely.
We build data quality solutions to measure, monitor, report, and recommend remediation to improve, establish, and sustain high levels of data quality.
Metadata Management
Firms with sound metadata management practices spend more time (80%) analyzing data and less time (20%) repeatedly searching, finding, and interpreting data. Metadata management is the ability to collect, organize, and publish information about data and make it available to users in a timely manner.
We help customers with metadata initiatives including implementing business glossaries, centralized metadata repositories, data catalogues and data dictionaries.
Master Data Management
Your firm has CounterParty, Contact, HR data in disparate systems and each system has different versions of the same entity. Mastering data is to establish a single and accurate version of each entity. For example - Name and address of an entity. Master data is key to improved productivity, CRM, analytics, and more.
Ask us about our large and successful MDM implementations. Let us help you master your data.
Data Science and Analytics
To become a data-driven organization, business users need to have descriptive, predictive, and prescriptive analytics at their FingerTips so they can see what happened, what is likely to happen, and what actions need to be taken.
We perform statistical analysis, build classification, clustering, regression, support vector machines, supervised and unsupervised learning models using various techniques. Our data scientists enjoy discovering previously unknown patterns, trends, and insights for better decision making.
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Data Visualization
Are your analytic graphics, charts, and visualization appealing or garish? Do they let the data speak? Do they follow the best practices of data visualization? Let us to a 30 minute review of your graphics, make recommendations and build them to industry standards.
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CDO Advisory Services
Data Strategy
Data Governance
Metadata Management
Data Quality
Data Science & Analytics
FingerTips
