Remediation of data, at the granular level, resolves root cause and data integrity errors within the organization. We put in place a framework to govern data and keep the data clean.

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    Data Enrichment

    To fully optimize enterprise information for its integrity and accuracy, every organization should have complete, unadulterated knowledge about its suppliers, customers, materials, and financials.

    The trouble with missing data and data inconsistencies is that makes it difficult to track potential duplicates in management reports. The Data Enrichment process attempts to furnish missing fields or incorrectly recorded fields, with industrial taxonomy and data of high quality. This helps searching of records and empowered, confident decision making.
    SDG helps organizations clean and enhance their data by:
    • conducting workshops with data owners
    • data gap remediation
    • performing source analysis
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    Data Cleansing

    To cleanse your data, we provide a process to identify exact duplicates, functional and identical duplicates, across organization groupings, then cleanse them with our strategies.

    We have the process, methodology and tools, to remediate inconsistencies in your data. Our governance approach allows organizations to practice a consistent and continuous approach to data monitoring, even after remediating internal and application controls, that have been uncovered by the data evaluation. This message is consistent with managements’ emphasis on data integrity and accountability to its stakeholders.

    The two pronged approach to help you manage your data as an asset are:

    • Using our propriety DME tool
    • Data Governance Advisory
    Without a rigorous discipline and supporting technologies, data quality usually deteriorates rapidly over a period of time. This undermines the effectiveness of business processes, integrity and trust in business intelligence and reporting.
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    Data Consolidation

    In order to carry out Data Consolidation, data is extracted from multiple sources and channelled into a single repository for organizations to view data and report in its totality.

    Very often, many organisations end up making one-sided decisions, due to not having insight to the enterprise data in its entirety. Modern day competition is not tolerant of execution of a partial strategy, thus this is a practice that is regarded as a risk area, and should be left to the experts.

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    Data Migration

    Our data migration consulting services incorporates our data cleansing, enrichment, consolidation services, which utilizing our expertise in mapping data to modern day ERP technologies.

    We firmly believe that SDG’s migration strategies, framework, methodology and templates are derived from:
    • Having a solid, functional understanding of data and legacy systems
    • Adopting the right resources, tools and templates
    • Foresight in having clear scope requirements
    • A proven data quality framework to obtain successful data conversion, profiling and analysis, and identifying data bottlenecks and cleansing of data
    • Having a well planned, tried and tested data validation and data testing strategy.

    We work collaboratively with the organisation’s implementation team to help build their skills internally and assist in deploying a process and solution to generate value-add and for re-use of data.

    Specifically, SDG’s approach will help meet the organization’s main objective, such that solutions are able to support its growth plans are successfully implemented.

    To best help the organization in achieving their objective/s, our team of specialized consultants would partner with stakeholders throughout the entire project and even after the completion of the project to ensure that a data governance framework can be successfully implemented for business success and data quality is treated as a discipline, rather than a chore.

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    Data Governance

    To help your organization achieve a holistic data and business centric approach, SDG will help map out the most appropriate data governance practices into the organization’s framework.

    These steps include:
    • Data architecture
    • Data standards
    • Data controls and compliance
    • Data quality
    • Solution deployment and change management
    We also acknowledge that there is no ‘‘one size fits all’ approach, as each client is different, which is why our methodology has the flexibility to incorporate business rules, organizational structure and enterprise culture .

    SDG’s deliverables of data governance strategies, methodology, road mapping, gap analysis, proposal of solutions and recommendations, will enable your organization to implement an effective data governance strategy.

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    Data Archiving

    SDG focuses on understanding the organization’s corporate audit / retention policies, and developing a potential data archiving road map.

    We conduct a no obligations, consultative discussion with your team to assess data completeness and its readiness for archiving.

    There are four areas of focus in archiving data:
    • Archiving objectives
    • Retention policies and compliance
    • Cost and benefit analysis
    • Data objects for archival
    From our experience working closely with our clients, we have found that organizations archive their data without a full understanding of its implications and impact.

    An incorrect approach to an organization’s master data and the improper execution of it can lead to disasterous results.

    Organizations that fail to properly incorporate a flexible strategy when archiving data may have to undergo the unnecessary and inefficient process of complex data extraction and restructuring. This can be fatal for the organization as a whole, especially when going through a restructure and/or when business rules and policies may change.

Belvedere of Tuscany