Effective data strategy & governance provides consistency, accuracy, and coordination across the enterprise.
Connect your data initiatives to your business, to each other, and to customers through effective strategy & governance.
A data strategy connects your data initiatives to your business strategy while integrating key business processes. A great data strategy can help your realize the full potential of a data-driven business.
|♦||Business Model Analysis|
|Society can analyze your existing business model to understand where data capabilities can be used more effectively, and where new business models can be developed. Society also has expertise at gaining executive- and enterprise-wide buy-in on critical aspects of a data strategy.|
|♦||Data Capability Roadmap|
|A multi-year data capability roadmap guides the technology plan and enables business stakeholders to adopt emerging capabilities quickly. In contrast to a technology roadmap, a data capability roadmap focuses on what business stakeholders will be able to do with data, and how & when they will be able to do it.|
|A well-conceived vendor strategy can help you get the most from your data capabilities while minimizing cost and increasing ROI. Society has experience with a wide range legacy and new Business Intelligence vendors, plus offshore & nearshore models, and can help you determine the approach that is right for your business.|
Society's Data Strategy Blueprint lays out the framework, requirements, and milestones for creating an effective long-term cross-organizational data strategy. Society can provide either light guidance on executing the blueprint, or can fully execute the blueprint with involvement from key business & IT/Engineering stakeholders.
Society's Big Data Report Card breaks up your data capabilities into components that can be measured, graded, and improved. Society performs the analysis, provides the grading, and makes recommendations on how to improve each area. From there, business leaders can more easily prioritize investments and understand what they will get in return.
Data quality is a critical aspect of an effective data initiative, to enable fast, accurate, & consistent data across your business, and ensure a single version of truth for all users.
|♦||Data Quality Process Design|
|Effective data quality requires strong process design across systems, business processes, and stakeholders. Society creates comprehensive data quality processes, including partners & suppliers, on a global basis. Society can also stage & execute the design as it rolls out to impacted groups across the enterprise.|
|♦||Data Quality Operations|
|Effective data quality operations serves global stakeholders by ensuring all systems are operating correctly & issues are solved quickly. Society has many years experience building and managing data quality operations teams, including blended onshore/offshore models to help contain costs and provide global support.|
|♦||Data Quality Analysis|
|Data quality analysis requires a unique blend of technical and business acumen, and strong analytics training. Society's expertise building, training, and managing data quality teams is unparalleled in the industry. Gain stakeholder trust and protect the value of your data asset with a great data quality analysis program.|
Society can create a data quality framework that connects across all data assets, through to business stakeholders. Through effective metric tiering, alerts, diagnostics, and proactive & reactive monitoring, Society can help you ensure that your data remains accurate & reliable.
Each business is different, and Society can create and operate a customized data quality solution unique to your business. Society can integrate your analytical and system resources correctly, and also excels at developing onshore/offshore hybrid solutions to help minimize costs while keeping quality high.
Data governance provides the coordination, technology, & automation required to drive the efficient & consistent use of data across the enterprise and ensuring high adoption of data capabilities.
|♦||Governance Process Design|
|Data governance processes span business & technical functions and provide a foundation for system development, change control, and issue resolution. Society creates strong governance processes, plus can gain the cross-functional and executive commitment needed to ensure strong support for data governance processes.|
|Data mastering is a critical yet frequently overlooked aspect of data governance. A strong data mastering design, particularly with customer, partner, and entity identifiers, can increase the accuracy & consistency of your data across the organization, and enable more agility and effectiveness of your data assets.|
|♦||Metadata Mgmt Solution|
|Metadata management is also critical to keeping data consistent and maintaining high quality across various systems. Society has expertise in various approaches to metadata management, from spreadsheets up through separate systems, including how to manage them and integrate them with other systems.|
Society's Sources & Uses Analysis creates a mapping between all sources of data, and how it is being used by all stakeholders. This valuable exercise creates a record that can be used to better understand how the current system is working, and to determine where improvements need to be made.
An enterprise data architecture can help solve quality, latency, and utilization issues. Society can connect the dots all the way between requirements and infrastructure to help ensure success for your organization. For maximum effectiveness, this solution is typically coupled with other solutions to provide all relevant architectural inputs.