Data Analytics

Ahana’s data services are designed to maximize your data assets’ potential. Our solutions help you visualize trends and opportunities to drive growth and eliminate waste. Key areas of our expertise include trend visualization, revenue growth strategies, and data optimization solutions.

Unlock the power of your data asset today!

Data integration is a critical aspect of effective data management, enabling organizations to gain a comprehensive view of their data and leverage it to achieve their business goals. There are three primary techniques used for data integration: ETL tools, API/Webservices, and data virtualization.

At Ahana, we have a team of experts with extensive experience in various platforms, including Informatica, Azure Data Factory, Microsoft SSIS, Oracle Golden Gate, Web methods, Tibco, Jboss, and replication. We are committed to meeting our clients’ unique needs by providing tailored solutions that utilize our deep-domain expertise in data integration.

Making data relevant, accurate, and readily available for consumption is vital to any business analytics operations.

This, combined with the rise of AI, chatbots, and machine learning makes the need for a reliable data engineering team more important than ever.

At Ahana, our team of experts designs, builds, and optimizes large-scale data processing systems, pipelines, databases, and warehouses, to ensure accuracy and efficiency in all operations.

It is critical that businesses visualize data to be able to gain deep business insights.

At Ahana, we specializes in data modeling and architecture services; we use cutting-edge techniques such as Physical Data Modeling and Conceptual/Logical Data Modeling to visualize data relationships, types and importance.

Our experienced data architects are equipped to develop a conceptual model based on business requirements, ensuring optimal performance with careful consideration of primary keys, reference keys, indexes, constraints etc.

Maximize your data’s impact with our specialized data governance services. Ahana’s team ensures high-quality data throughout its complete lifecycle, from creation to archiving, by establishing policies and procedures for data ownership, stewardship, quality, privacy, security, and usage.

Effective data governance requires collaboration among business leaders, data professionals, and IT teams, and our services provide the framework to align with your organization’s goals and objectives. We monitor and enforce compliance with data policies and standards, track data lineage, and maintain a comprehensive data catalog, allowing for better decision-making and optimal data usage.

Discover the power of Master Data Management (MDM) with Ahana. We provide expert MDM services that identify, standardize and manage your data assets. Whether it’s customer, product, supplier, location, or employee data – we work towards creating one comprehensive and accurate view of master data for your business.

With our consistent standards in place, you can reduce inconsistencies in data, enjoy more efficient operations, and optimize decision-making. Our complete range of MDM solutions include: Profiling & Cleansing; Governance & Integration; Modeling; Mapping; Quality Monitoring; Workflow Management – all geared towards unlocking the true value of your data with success!

Ahana’s Data Visualization services are engaging and user-friendly, bringing data to life through informative visualizations and intuitive design.
With tools such as Power BI, Tableau, QlikView, and more, our experts create informative data visualizations that drive better decision-making and business success.

Data protection policies, including column level security, encryption, data masking, and role-based security, are necessary to safeguard sensitive data.
Failing to implement adequate data security measures can lead to reputational damage, legal liability, financial losses, and regulatory penalties.
Ahana’s data security service offers documentation, security policy analysis, sensitive data identification, and access policy establishment.
We implement encryption, backup and recovery mechanisms, and establish auditing, monitoring, and alerting. Data security is an ongoing process that requires technical, administrative, and physical measures to mitigate risks and threats.

Data warehouse principles, including performance, data quality, integration, and security, enable faster throughput and efficient storage. With the emergence of unstructured data from IoT and social media, support for analytics has evolved within data warehouse design principles. Legacy OLTP technologies, such as Oracle and SAP, are accommodating unstructured data support within the same product. Architecture, such as Apache Hadoop and Cassandra, is evolving to meet large volume and faster performance.

Cloud offerings, such as Redshift and Snowflake, have innovatively split storage from processing to make pay-per-use data warehousing attractive. Consolidating these offerings and more, Ahana brings 30 years of experience and best practices to designing and implementing large data warehouses and data lakes.