Setting up Robust Data Warehouse with IBM Cognos Consultants

Modern organizations must make business decisions based on information showcasing the reality of their market. However, data-driven decision making is difficult when businesses work with disparate data architecture or platforms. This approach makes the process of data querying tedious and fails organizations to make appropriate decisions.

An efficient way to perform steadfast querying and analyses is by deploying a BI platform like IBM Cognos. With this platform, businesses can build and launch a data warehouse. The warehouse enables analysts and business users to query huge volumes of unstructured data and come up with data-driven resolutions. By opting for Cognos, organizations can incorporate IBM-native functionalities like high-performance computing and advanced processing modules with their data warehouses.

Relevance of Creating Data Warehouse with Skilled Cognos Consultants

It’s crucial for businesses to understand that building and deploying a data warehouse with the IBM Cognos tool requires an extensive approach. From sourcing data to setting up protection capabilities, a fully functional data warehouse demands time-intensive configuration and undivided attention. Hence, it’s clear that developing a Cognos-backed data warehouse with in-house professionals is a challenging endeavor.

As an alternative, organizations can hire dedicated developers from an offshore Cognos consulting company for data warehouse implementation. They can undertake the responsibility of creation, management, and protection of data warehouse architecture. Through agile practices, Cognos experts automate the processes involved in data warehouse creation, like dataset collection, cleansing, transferring, and cataloging. This is essential for businesses to efficiently query data during analytics and Machine Learning projects. Moreover, the Cognos experts integrate access permissions within the data warehouse for standardizing identity and access management.

Four Focus Areas for Cognos Consultants During Warehouse Creation

1. Event-Sourcing Architecture Implementation

Cognos experts follow an event-sourcing architecture methodology during data warehouse creation. Meaning that, configuring a data warehouse to store all raw business data in the original format. Storing and inputting raw information in a data warehouse enables data scientists and analysts to make sophisticated queries, process data widely, and execute new business data use cases.

The event sourcing architecture supports “store now, query later”. This architecture enables organizations to maintain an immutable log of queried data and eliminates the need to set up additional databases. Also, data management teams can trace errors in the query data and resolve them quickly by reiterating from the immutable log.

2. Cost Optimization with Storage Classes

With the cloud-based deployment, Cognos experts enable business users to use storage classes during querying with a data warehouse. With a single storage class, users can execute multiple query use cases without any limitations like frequency of access. Storage classes can temporarily store query data in their memory. Caching data can improve query performance and help businesses cut costs since it eliminates the need for storing memory in a separate database.

Cognos consultants can also help businesses centralize their data warehouse’s storage classes in a metadata repository. This enables administrators to manage all their classes from a single location, thereby reducing costs in data infrastructure maintenance and engineering. The consolidating also simplifies warehouse auditing and compliance administration.

3. Cataloging the Query Data

It’s essential for business users to catalog the outcomes (queried data) generated by the Cognos data warehouse. Cataloging query data enables business users to curate it and use it for further activities. Understanding this, Cognos consultants integrate a data catalog module with the built data warehouse for a structured and reliable curation of query outcomes. This module can capture query data can catalog them based on schema, lineage information, and table and column descriptions.

During data ingestion, business users can sort and discover queried data easily with this catalog module. Moreover, integrating data warehouse with catalog modules reduces the intensity of silos in the data architecture and adds value to governance and asset management functions. Some of the commonly used catalog modules that IBM Cognos Business Intelligence experts use for data warehouse integration are IBM Maximo, Aspera, and API Connect.

4. Securing via Role-Based Controls

Protecting a data warehouse from leakage and cyber threats is a key aspect that Cognos consultants largely prioritize during deployment. By configuring role-based access to each component of the data warehouse, Cognos consultants eliminate the possibility of data vulnerabilities. With an RBAC-supported data warehouse, businesses can easily grant or revoke access to sensitive information, folders, and files for a range of users. These controls largely help administrators in auditing and monitoring data access and activities with a data warehouse.

Another key purpose of implementing role-based access controls is drawing a line between managing the data warehouse and other products in the Cognos network. This separation ensures that the security measures are limited only to a particular data warehouse architecture. Moreover, the administration of a data warehouse’ security system becomes easier with role-based controls.

Building Data Warehouse with Cognos Consultants – Key Benefits

Work with the Latest Data

Cognos consultants build data warehouses with quick reloading actions and better synchronization abilities. This ensures that businesses can always access up-to-date information. This is valuable for organizations working to deliver precise facts and data for a range of participants and clients.

Eliminate Guesswork

A data warehouse built by Cognos consultants can offer greater speed and reliability during querying. This necessarily helps business users to generate faster reports and share them with the required stakeholders to act on the most recent data. When stakeholders can access and utilize queried reports faster, organizations can avoid spending time on manual guesses and save time. For instance, stakeholders can use Cognos data warehouse for faster querying on:

• Where does their organization spend the most money?
• What types of end users prefer their services and products?
• How much profit does each user generate?
• What activities lead to advancement in the future?

Versatility and Scalability

With cloud architecture as a base, reputable Cognos Business Intelligence solutions providers build and deploy data warehouses for organizations. By tapping into the cloud architecture, business users can use distributed storage to handle a growing amount of queried data and accommodate data growth easily. This storage is a versatile medium that enables business users to store both structured and unstructured outputs derived from the data warehouse.

Summing Up

Without querying, BI tools like Cognos are only able to offer basic analytical capabilities. However, by stepping into data warehouse creation with Cognos BI, businesses can maximize their analytics initiatives and standardize data querying at a scale. To further increase the efficiency of the data warehouse, collaborating with skilled Cognos consultants is essential. From initiation to deployment, they follow a strategic approach and ensure the successful operation of data warehouses for organizations.