Data Strategy Assessment

Data strategy consulting offers expert guidance to help organizations develop and implement a comprehensive data strategy aligned with their business objectives.

Data strategy refinement & execution focuses on fine-tuning your current data approach to better suit your shifting business priorities, followed by its effective deployment.

Generative AI readiness and Strategy prepares your organization to effectively adopt and leverage generative AI technologies.

Process for evaluating and selecting the optimal hardware, software, and structural frameworks that align with an organization’s data goals.

This program typically includes defining roles and responsibilities, data ownership, data access controls, and audit mechanisms to manage data as a strategic asset effectively.

These services include strategic planning, risk assessment, and the integration of data-driven insights into organizational processes, aimed at building a data-centric culture at the executive level.

Organizations often struggle to initiate a data strategy due to a lack of clarity on where to begin. The assessment provides a structured approach to identify the initial steps, ensuring that efforts are focused and effective.

Without proper alignment, data projects may not contribute meaningfully to business objectives. Checking for this ensures that data initiatives are directly linked to strategic goals, maximizing their impact.

Data scattered across disparate systems leads to inefficiencies and hinders comprehensive analysis. The assessment identifies these silos and recommends integration strategies to create a unified data environment.

Inaccurate or inaccessible data can lead to flawed insights and decisions. A data strategy assessment evaluates data quality and accessibility, proposing measures to improve data integrity and availability.

Relying on obsolete or suboptimal technologies can limit data capabilities. The assessment reviews the current technology stack, identifying gaps and recommending modern tools and platforms that better suit organizational needs.

Without robust governance, organizations risk non-compliance with regulations and data mismanagement. A good data strategy addresses the need for governance structures to ensure data security, privacy, and regulatory compliance.

Organizations may find it difficult to determine which data projects to tackle first. The assessment helps prioritize initiatives based on business impact and technical feasibility, ensuring optimal use of resources.

Not understanding the organization’s data maturity hampers strategic planning. Our team evaluates the current state, providing a benchmark to measure progress and plan future advancements.

Outdated or cumbersome data processes slow down operations and analysis. The assessment examines existing workflows and recommends process improvements for efficiency and agility.

“Orases successfully built efficiencies into our prototype and delivered a high-quality platform.”

“They’re honorable, reputable, and easy to work with. They genuinely care about the outcome and want to do a good job.”

“Orases built a platform that’s boosted productivity by about 30%…”

“Not only do they want to succeed, they strive to produce functionally and visually unique software.”

Data strategy assessment helps you understand where your organization stands in terms of data management and analytics. By identifying gaps and opportunities, you can prioritize initiatives that will drive business value, optimize resources, improve data quality, and ensure that data efforts support your strategic goals.

Key stakeholders from both IT and business units should be involved, including data managers, IT leaders, business analysts, and representatives from departments that rely heavily on data. Their input ensures that the assessment addresses both technical and business perspectives.

The assessment examines data governance, data quality, technology and tools, data architecture, processes and workflows, talent and skills, and alignment with business objectives. It may also assess data security, compliance, and readiness for advanced analytics like AI.

Yes, the assessment evaluates your current technology stack and recommends tools and platforms that align with your needs and future goals. It helps in making informed decisions about technology investments.

By utilizing real-time data from inventory management software, organizations are able to improve forecasting, support & business processes.

When your organization is selecting a database, it’s important to understand the difference between relational and non-relational databases.