What is your data strategy?
More than ever, the ability to manage torrents of data is critical to a company’s success. But even with the emergence of data-management functions and chief data officers, most companies remain badly behind the curve. Data breaches are common, rogue data sets propagate in silos, and companies’ data technology often isn’t up to the demands put on it.
IPC Global's Advisory Practice and Enterprise Intelligence Perspective help leading organizations to develop and implement coherent strategies for organizing, governing, analyzing, and deploying their information assets to support managerial decision making and ultimately enhance financial performance.
Our Enterprise Intelligence perspective segments data strategy along resources and technology areas. The four pillars of Enterprise Intelligence are: Governance, Applications, Data, and Environment
Each area is dependent upon the others for success in achieving Enterprise Intelligence. Sustained value at the lowest total cost of ownership is achieved through planning, execution, and follow through.
Management of data, applications, and environments aligned with the strategic objectives of the business requires leadership. Governance requires prioritization, communication, and execution. Data literacy and training brings about capability and maturity visible in the results.
Mobile, embedded, guided, and self-service analytics deliver information where needed. External users, management, analysts, and stakeholders need to utilize information more effectively. Placing this data where and when needed brings leverage and strategic differentiation to the organization.
Data administrators and specialists work meticulously to integrate multiple data sources into a single source of truth. Data thoughtfully engineered into reusable data objects and models requires master data management (MDM) and data quality management (DQM) tools and techniques.
Systems engineers and IT Services secure our data, scale our applications, and manage to a high service level (SLA). Adapting to changing needs while new and legacy systems are brought on and off line can be tricky. Cloud/VM capabilities are nimble to meet the need.