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Data & Analytics

Advanced Analytics

Developing Insight from Information

Businesses collect vast amounts of structured and unstructured data. Yet, between 80 and 90 percent of the world’s data remains “dark” – meaning it is either not used or understood. Advanced Analytics and Cognitive Systems promise to unleash differentiating discoveries for businesses whose goals are to extract untapped insight from diverse and vast data sources. Businesses and IT leaders require a clear strategy to shift organization, leadership, skills, and technology to deliver business value from advanced analytics. Enaxis Consulting works with clients to help them understand the value advanced analytics can add to their organization. Read more

Analytics Operating Model

Building effective framework that supports scaling analytics capabilities

What are the key considerations to develop and mature analytics capabilities within your organization? Funding options, capability sourcing (insourcing vs. outsourcing), technology platforms and roadmaps all need to be considered, to determine how analytics will be enabled within the organization. An effective framework will drive the required capabilities, tools, and processes necessary to realize value from analytics initiatives. However, rarely do vision and strategy precede need; that is, many executives and leaders look for results without knowing what strategy is needed to reach those results. So what should be done – what really delivers value from analytics pursuits, and how do you course correct before it’s too late? Read more

Data Oriented Architecture

Putting the technology building blocks in place to support analytics

Highly successful organizations are utilizing data to drive innovation and achieve their operational goals. In today’s world of rapidly growing data, connected sensors and devices, and unstructured data, a forward thinking information strategy and supporting architectures must be in place. This strategy must be aligned to the businesses strategy in order to deliver optimal value to the organization. A modern strategy will position an organization to find hidden insight utilizing the latest analytics, machine learning, and big data technologies, while accounting for traditional information management focus areas. Developing and executing on these strategies requires the right partner, one who understands the challenges and complexities in delivering value in this new world. Read more

Data Governance

Aligning data priorities to business strategies

Many enterprises acknowledge that effective information management is the key to their success. Over time, the demands, focus, and strategy of the information organization evolve, and with it the demands placed on the information management organization. The data management function must have a mechanism in place to evolve with the broader organization, namely data governance. A data governance organization creates the necessary feedback mechanism to ensure the roles and responsibilities, policies, and standards support the business objectives of the enterprise; enabling it to leverage data as an enterprise asset. Enaxis has successfully worked with clients to implement effective data governance, which has supported a variety of data management functions. Read more

Master Data Management

The right data, to the right people, at the right time

With the explosion of data being generated in organizations, one of the fundamental questions which must be answered is: how should this data be managed in such a way that it becomes an asset to the organization. In a world where data is being generated faster than it can be consumed and analyzed the right data management capabilities must be in place. These capabilities will not only enable the success of the organization but will enable it to meet the regulatory compliance, merger and acquisition, and enterprise integration of a complex organization. Enaxis has successfully delivered extensive engagements in this space, from management the deployment of an enterprise MDM program, to setting up a data quality management capability. Read more