Operational services views enterprise data as an organization’s information asset. Our assessment methodology, process and appropriate tools, give quick insights for improvement of the organization’s existing state of the data quality.

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    Data Management Evaluation(DME)

    We profile and analyze your company’s master data using our DME data tool, with the objective of determining the quality of your data.

    The process of Data Evaluation includes mapping out your data into industrial standard taxonomies, business processes, industrial terminology and scoring structures.

    The management report presented to project sponsors and data owners will consist of our DME Proprietary Data Quality score card of enterprise data that will show you the current status of your data.

    We will propose solutions to help you meet industrial standards and audit requirements.
    The businesses’ enterprise applications and reporting tools are only as good as the data they execute against.

    From our experience working with poorly managed enterprise data lacking in accountability, it often results in inaccurate incomplete data, which can be full of discrepancies. This undermines the operating effectiveness of internal controls which leads to inaccurate management reporting that affects the quality of business decisions made.

    To improve the health and integrity of your data, we use DME to determine the quality of Master Data in four key areas:
    • Data completeness
    • Data consistency
    • Data conformity
    • Data duplicates
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    Advanced DME

    Using Advanced DME, we gather and build customized business rules, taxonomies and industrial standards from business users and data owners before any master data is profiled and analyzed. This will help your business in achieving in-depth findings and identify further key areas of improvements

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    Data Management Functional Analysis (DMFA)

    To address your data concerns and to help you achieve your business objectives, we use a combination of business processes, data ownership and data quality, to transform your current data processing landscape from to an optimized one.

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    Master Data Management (MDM)

    MDM is performed with the objective of providing processes, to collect, aggregate, match, consolidate, quality assure and distribute data to the organization.

    This ensures consistency , control and ongoing monitoring of on-going maintenance and application of enterprise information assets.

    At a fundamental level, MDM seeks to provide assurance that an organization does not use potentially inconsistent and multiple versions of the same master data within different parts of its operations, which is a common occurrence in large organizations.

    The typical challenges that organizations face include:
    • Poor recognition of existing customers within client-facing organizations
    • Organizations that have undergone multiple mergers and acquisitions / integration process often face challenges such as
    • Selection of a lead application system
    • Consolidation of data from disparate systems
    • Identifying inconsistent, duplicated data
    • Enriching inconsistent, incomplete information
    • Archiving and decommissioning of redundant systems
    • Issues with data reconciliation
    SGD can help you resolve your data management and integrity issues by:
    • Poor recognition of existing customers within client-facing organizations
    • Source identification
    • Data collection
    • Data transformation
    • Normalization
    • Rule administration
    • Error detection and correction
    • Data consolidation
    • Data storage
    • Data distribution
    • Data governance
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    Enterprise Content Management Implementation

    The objective of implementing Enterprise Content Management(ECM) is to manage structured and unstructured data, within an organisation, such as data embedded in emails, images, graphics and spreadsheets.

    Unstructured data within an organization can account up to 50%of its data and Intellectual Assets (IA).
    Much time is often utilized to re-create documents, instead of focussing on revenue-generating activities such as sales and proposal delivery.

    We have found that many organizations do not place sufficient emphasis on ECM and Record Management,and hence exposing them to millions of dollars worth in legal, and regulatory risks.

    In nine out of ten cases, inexperienced ECM architects implement ECM concepts that are inflexible. This often hinders corporations from leveraging on their combined intellectual property to enhance business strategies, doing more harm than good.

    Our consultants have been engaged by a range of major organizations, to manage Petabytes of enterprise data(both structured and unstructured), using commercial ECM software.

    Our role at SDG is to approach the overall corporate strategy, addressing issues on record management, search design, by adopting leading industrial practices.

Belvedere of Tuscany