Our Services
The best-run businesses treat information as an asset.
Even more so than before now in the Big Data era. data needs to be carefully managed.
with our team of experts we offer innovative and best practice solutions in managing data for desired business outcome.
At Hodari, we believe that a holistic approach is indispensable when it comes to data management.
Our team focuses on design, implementation,
on-going operations and maintenance of data management strategies.
Information Management
Information Management (IM) plays a pivotal role in the modern digital landscape, serving as the cornerstone for effective decision-making, organizational efficiency, and competitive advantage. In today’s interconnected world, where data is generated at an unprecedented pace, mastering the art of information management is imperative for businesses aiming to thrive in a data-driven environment.
- Data Quality Management:
Ensures data accuracy and reliability through systematic processes, enhancing decision-making and operational efficiency. - Master Data and Meta Data Management:
Are integral components of information management, working synergistically to ensure data quality, consistency, and usability within organizations. - Information Lifecycle Management:
Managing information from creation to disposal. It helps organizations optimize storage, mitigate risks, ensure compliance, and enhance efficiency. - Data Integration:
Merging data from different sources into a single format for analysis. It involves extracting, transforming, and loading data.
Data Management
Data Management involves the organization, storage, processing, and protection of data throughout its lifecycle to ensure its accuracy, accessibility, and security.
- Data Migration:
Transferring data from one system or storage format to another. It ensures data consistency, integrity, and accessibility during the transition. - Data Warehousing:
Collecting, storing, and organizing data from various sources into a centralized repository for analysis and reporting. - Data Privacy:
Protecting sensitive information from unauthorized access, use, or disclosure. Implementing policies, procedures, and technologies to safeguard data privacy rights and ensure compliance with regulations. - Data Analytics:
Analyzing raw data to uncover meaningful insights, trends, and patterns that can inform decision-making and drive business outcomes. - Digital Transformation:
Using digital technologies to revolutionize business processes, customer experiences, and organizational culture for competitiveness in the digital era.
Full Lifecycle Implementation
The comprehensive process of planning, designing, developing, implementing, and maintaining a technology solution or system throughout its entire lifecycle.
- Enterprise Architecture:
Provides a holistic framework for aligning IT with business objectives, optimizing IT investments, and driving organizational success. - Development & Quality Assurance:
Ensures the creation of high-quality software that meets user requirements, performs reliably, and delivers value to stakeholders.
- Built, Release & Deployment Support:
Ensuring that software is built, packaged, and deployed efficiently and reliably into the production environment.
Maintenance & Support
Ensures the ongoing functionality, performance, and reliability of software applications after deployment and the overall satisfaction of users with software applications over time.
- Post-Production / On-going Support:
Ensuring the continued functionality, performance, and satisfaction of users with software applications over time.
- Application Maintenance:
Continued maintenance of functionality, performance, and satisfaction of users with software applications over time. - Upgrade & Migration:
Transitioning software applications or systems to newer versions, platforms, or environments to improve performance, functionality, or supportability.
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