Data Strategy

Data strategy assessment evaluates your current data practices, infrastructure, and goals to identify opportunities for improvement and alignment with your 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 have data stored in multiple, disconnected systems, which impedes data accessibility and quality. Data strategy consulting can help by developing an integrated approach to data management that reduces silos and enhances data flow across departments.

Poor data quality can lead to inaccurate analysis and decision-making. Orases can implement data governance frameworks and quality control procedures to improve accuracy, completeness, and reliability of data.

Many organizations struggle with slow and inefficient processes for data collection, processing, and analysis. Orases can help streamline these processes through automation, better data architecture, and more effective tools and technologies.

Data breaches and non-compliance with regulations can lead to significant financial and reputational damage. An effective data strategy can assess current data practices and compliance gaps, recommending enhancements in data security and privacy policies.

Companies may lack the capabilities to implement advanced analytics and derive insights from big data. Our consulting services can help in setting up the necessary tools and analytics models to utilize these capabilities fully.

Often, data is not used to its full potential to drive business growth and operational efficiency. Orases can identify new data-driven opportunities and strategies, and help integrate data more deeply into strategic decision-making.

Shifting to a data-driven culture requires changes in mindset and operations which can be challenging. Orases can provide change management strategies and training to ensure smooth transition and adoption of new data practices across the organization.

Scaling data infrastructure and operations effectively without compromising performance can be a significant challenge. Orases can assist in designing scalable data architectures and selecting scalable technologies that can grow with the business.

Orases can help design and implement real-time data processing architectures, selecting the right tools and technologies to enable instant data access and analysis, thus enhancing responsiveness and operational agility.

In the healthcare industry, data strategy can focus on leveraging predictive analytics to anticipate patient needs, improve care quality, and reduce costs.

For financial institutions, data strategy is important for managing risk, ensuring compliance, and preventing fraud.

In the retail sector, data strategy can drive personalized customer experiences that enhance satisfaction and loyalty.

“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.”

The five phases of data strategy guide organizations in using data for success. First, Assessment identifies strengths and gaps in your current data. Data Governance & Management ensures quality, security, and compliance. Next, Data Integration & Architecture integrates data and builds the necessary infrastructure. Analytics & Insights applies tools to extract actionable insights, and finally, Optimization & Execution fine-tunes processes for long-term success. These phases establish a strong foundation for data-driven decision-making and growth.

The two main types of data strategies are Operational Data Strategy and Analytical Data Strategy. Operational Data Strategy focuses on optimizing day-to-day data management to support real-time decision-making. Analytical Data Strategy uses data to uncover trends and insights, driving long-term growth and strategic decisions. Both are important for balancing immediate needs with future planning.

Strategies incorporate robust security measures and compliance checks to adhere to industry standards and regulations, including GDPR, HIPAA, and others, depending on the geographical and sector-specific requirements.

Yes, small businesses can see significant benefits by using data more strategically to make informed decisions, understand customer behaviors, and optimize operations.

Look into how data as a service is reshaping business insights, recognizing it as a tool for achieving greater organizational success.

Thanks to the power of healthcare data analytics, healthcare practitioners can now identify high-risk patients before illnesses develop.