With the right strategy, data assets can accelerate the realization of business goals and generate business value themselves. Value is created through improvements in decision making, optimization and automation in operations, and data monetization.
With the right strategy, data assets can accelerate the realization of business goals and generate business value themselves. Value is created through improvements in decision making, optimization and automation in operations, and data monetization.
A data strategy aligns analytics, data governance, and information architecture and refers to tools, processes, and rules for working with business data. The strategy defines how data is to be managed, analyzed or processed. The data strategy does not only refer to decision support through sound data, but also includes compliance and security aspects.
Develop a vision for how Business Strategy, Business Operations, Data Operations, and Risk Management lead to an improved Analytics architecture.
Target Operating Model BI and Analytics Architecture – This is the core of the strategy. A target model is developed from an assessment of requirements, best practices, market trends, and organizational maturity, and scenarios are evaluated that describe the path to the goal.
Processes – Data Strategy also addresses the optimization of processes. Data should not only be available for analyses – it should also be obtained automatically and without system breaks. The potential for this in the area of conflict between legal requirements, customer interests and trouble-free processes, must be determined here.
Organization, culture and roles - The data strategy is driven by the business strategy and the selected operational business model. But this must not become a one-way street. In order to derive benefits from data assets, it must also be clearly stated which positions require change.
The partnerships of saracus with innovative and market leading software vendors in combination with a broad base of customer projects from 3 decades result in a comprehensive expertise in data strategies in the Business Intelligence and Data Analytics worlds with their drivers, best practices and trends. saracus accompanies you in your change and brings coördinated tools for a strategy development.
Keeping an eye on the architecture – We take a comprehensive and objective look at your information and data architecture and we develop a suitable target architecture as well as the roadmap to get there. Where do you want to go? To the cloud, more AI, data engineering, self-service BI with storytelling? Do you want to build a data lake or a data catalog?
Together with you, synvert saracus determines achievable and meaningful use cases, so that no pipe dreams are conceived. It is about setting the course in the right context, so that the use of new data and technologies can later be lived and generate value. To support consulting, synvert saracus has created its own tools for the development, coördination and documentation of analytical use cases, which are used during strategy definition.
synvert saracus interprets data as assets that should benefit the entire company. Data governance and the management of data quality, metadata, master and reference data, information security, or content and knowledge management interact with the data strategy. The synvert saracus Data Governance Framework provides structure for these topics.
Actions on one side lead to impacts on the other. In most cases, data strategy is therefore not just an IT issue and strategy considerations have to be broader! This involves change management, communication, and perhaps the reorganization of roles and responsibilities. Or, as previously stated, it is also about optimizing processes. Organizational change will also have to be outlined in the objectives and the strategy to achieve them.
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