Information Management

Information management (IM) is the collection and management of information from one or more sources and the distribution of that information to one or more audiences. Information, as we know it today, includes both electronic and physical information. The organizational structure must be capable of managing this information throughout the information lifecycle regardless of source or format (data, paper documents, electronic documents, audio, social business, video, etc.) for delivery through multiple channels that may include mobile and web interfaces. Given these criteria, the focus of IM is the ability of organizations to capture, manage, preserve, store and deliver the right information to the right people at the right time.

business analytics

Business Analytics software helps your organization better understand, anticipate and shape business outcomes. You can achieve breakthrough results and outperform your competition Business Analytics software provides you with actionable insights that allow you to answer these critical business questions:

How are we doing?
Why are we doing this?
What should we be doing?

With answers in hand, you can stay on track to meet targets, with visibility into any aspect of your business performance. You can put results into context by analysing trends and patterns. And then allocate human and financial resources more effectively, and mitigate risk.

enterprise resource planning

With ERP your organization can improve the strategic alignment and efficiencies of financial, human capital and operational processes. With enhanced enterprise productivity and insight from ERP application, you have the power needed to adapt quickly and cost-effectively to changing business, market and industry requirements with ERP solutions that include:

CRM, Accounting, Point of Sale, Project managment, warehouse management, human resources, purchasing, manufacturing, and marketing.

enterprise content management

Optimizing the value of business content begins with a cohesive strategy for capturing, managing, delivering, protecting, and archiving information assets. An enterprise view of the processes that influence the content management life cycle should be designed to support your business objectives. Leveraging common principles for enterprise content management across business lines establishes a scalable architecture that increases the intelligence and the value of information assets for your business. Offerings include document management, web content management, records management and enterprise collaboration.

operational intelligence

This allows an organization to collect, index and harness the fast moving machine data generated by all applications, servers and devices (physical, virtual and in the cloud) and to search and analyse all their real-time and historical data. This helps to improve service levels, reduce operational costs, mitigate security risks and enable compliance. This is utilised for application management, infrastructure and operations management, and security and compliance.

unified data management (UDM)

In most organizations today, data and other information are managed in isolated silos by independent teams using various data management tools for data quality, data integration, data governance and stewardship, metadata and master data management, content management, database administration and architecture, information life cycle management, and so on. UDM on the other hand holistically coordinates teams and integrates tools. It is best practice for coordinating diverse data management disciplines, so that data is managed according to enterprise wide goals that promote technical efficiencies and support strategic, data-oriented business goals. This yields several benefits, such as cross-system data standards, cross-tool architectures, cross-team design and development synergies, leveraging data as an organizational asset, and assuring data's integrity and lineage as it travels across multiple organizations and technology platforms.

benefits

Data quality: Improved accuracy and consistency of information distributed to customers both inside and outside the organization through consolidated data sources that eliminate program-specific views of data and data redundancy, established authority for and ownership of data, consistent business rules for linking and aggregating data

Process efficiency: Increased operational efficiencies through consolidated data and technical architecture and self-service tools.

Security: The safeguarding of organizational data from misuse through standardized regulatory and privacy requirements, audit trails and controls and disaster recovery strategies.

Organizational agility: The flexibility and agility needed to meet dynamic business requirements and market demands.

Information management: Increased effectiveness of data used for business planning and execution though an integrated, cross program views or enterprise subject areas or data domains, process improvements and information delivery framework.