Databases play a pivotal role in data analytics & reporting right from the time a transaction record is created, to the time the record is stored in a data warehouse for reference and historical analysis purposes.
Accurate cataloging of each record is of utmost importance to an organization as inaccuracy could not only lead to financial loss but could also have dire consequences including endangerment of people’s safety and legal action.
We employ the Online Transactional Processing (OLTP) and Online Analytical Processing (OLAP) approaches to help organizations accurately design, build and deploy databases and data warehouses, enabling them to effectively manage and leverage large volumes of data for strategic decision-making.
Features
Database Management
A properly designed and well-managed database is like a goldmine. It allows for proper and accurate transactional data being ingested into business intelligence applications which in turn helps to ensure communication, better decision making, and that organizations interpret data in a uniform manner.
Our teams are capable of not only accurately designing and implementing robust relational databases, but they can also optimize and enhance database performance with features including referential integrity, proper indexing, partitioning, caching, and query optimization. This ensures that users are able to retrieve the necessary insights efficiently and without delay even when the organization experiences increase in data volumes and complexity.
Data Warehousing
A data warehouse brings together historical data from a range of different sources into a single data repository, which supports data analysis, data mining, artificial intelligence, and machine learning. Data warehousing often require de-normalization of data which in its broadest sense involves categorization of data into facts (transactional data) and their supporting dimensions (dimensional data). This format allows for efficient and effective data mining and data analytics.
Considerable effort and resources are required in planning and implementation of data warehouses and our teams can help organizations complete the tasks efficiently and successfully.
Data Migration
Due to various reasons, organizations may want to migrate their data from one system to another. Some of the reasons include legacy software upgrade and replacement as well as replacement, upgrading, and/or expansion of storage systems and equipment. The increasing availability, affordability and security being offered by cloud platforms amongst other benefits, is also causing more companies to opt to migrate their data from on premise locations to the cloud environments.
Like any other organizational data process, accuracy is of high importance when migrating data and we are in a position to help organizations tackle the complexities of the process ensuring accuracy and efficiency.
Data Security
If a well-managed database is relevant to running a successful business, having tight security to that database is even more important as any type of breach can have severe consequences for any organization. To maintain compliancy and robust security, organizations should adopt database solutions that provide features like role-based controls and encryption mechanisms, which all help to maintain the confidentiality and integrity of sensitive data.
We utilize the most advanced tools set up security controls that are designed to keep databases safe and secure. We are also capable of working with organizations' system and network administrators in implementing systems protecting underlying infrastructures that house databases such as networks and servers.
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