IBM Cloud Pak for Data

We advise many of our clients on the best ways to process ETL and Analytics, quickly, and efficiently. CP4D has been around for many years and we have implemented this for many organizations. It solves most bottlenecks clients have for processing in a very cost effective and reliable environment. Clients can also process jobs within seconds where it would previously take days. This offers a platform to organizations allowing them to change their business models. For example, a large financial institution in Canada would normally score their customers in 45 hours. With CP4D with Netezza, the same scoring job completes in 15 seconds. Now customers can be scored daily. This same story can be seen at hundreds of other clients we support. There is nothing else like it on the market at such a competitive price on premise or in the cloud.

• Ease of use
• Fast Analytics
• Easy to train staff how to use

• Incredible ROI for clients
• Simple for users to understand and use
• No downtime for analytics processing

VMware Tanzu Data Services (Greenplum, GemFire, RabbitMQ and Tanzu SQL)

OpenManage Integration for VMware vCenter, JMP Statistical Discovery Software from SAS

We use it to connect it with our product for integration with cloud and it helps to enables all of your data users to collaborate from a single, unified interface that supports many services that are designed to work together. we give the end user recommendation is they want to store the data in cloud.

• Simplify and automate access to data, across multi-cloud and on-premises data sources, without moving data.
• Universally safeguard the use of all data, regardless of source.
• Provide business users with a self-service experience for finding and using data.

• can improve readiness for cloud migration, improve licensing flexibility with IBM, and reduce both hardware purchases and infrastructure management efforts.
• reduces the expenses of internal resources.
• should improve efficiencies, reduce risks, and increase performance

Nutanix Cloud Clusters (NC2)

IBM InfoSphere Data Replication, Nutanix Cloud Infrastructure, Amazon S3 (Simple Storage Service)

IBM Cloud Pak for Data is a powerful cloud-native AI all-in-one easy to use solution that enables us to put data to work quickly and effectively.

This tool also enables us to approach analytics our way, with code, low-code and no code options that allows us to collaborate on one platform. Easy to transform structured and unstructured data into analytics insights. Build and test models with best-in-class AI and analytics. The support team is generally the most proactive and supportive 24/7.

• End-to-end AI lifecycle.
• Data governance and privacy.
• Visualization and reporting.

• Saves lots of time by predicting outcomes faster using a platform built with data fabric architecture.
• Easy to collect, organize and analyze data no matter where it is.
• Manual catalog is eliminated to save costs.
• Drive responsible, transparent and explainable AI workflow to operationalize AI and mitigate risks and regulatory compliance.

Azure Databricks and Cloudera Data Platform

IBM Cloud Pak for Data is driving business productivity by reducing the time spent reading and analyzing data, we always use this tool in all departments that need to gather relevant information in the cloud from a single centralized platform for better reporting of data, it is possible to analyze data from many sources in a short period of time. Data virtualization is very simple, migrations, readings, analysis, data management from other sources are performed without problems of requirements, we have a team of experts in IBM Cloud Pak for Data to maintain security and correct data management .

• Configuration with hybrid and multicloud environments.
• Robust platform capable of working with multiple data sources.
• Automated data analysis.

• Better performance in analysis and data collection from multiple sources.
• Our productivity in the company is growing thanks to data analysis.
• Robust hybrid and multi-cloud access system.

This cloud-based tool is excellent for visualizing and managing all data across networks, also fulfilling fuzzy data storage, making it less complex and completely improving productivity in the organization; so everything will be managed in multiple environments without any problem. That's why since IBM Cloud Pak for Data has been implemented everything is better organized and managed across all departments with no hassle.

• External data connection management.
• MLOps and AI.
• Distributed data processing.

• Simple data processing and no migrations.
• Advanced data privacy control performance.
• Access to disparate data sources.

Google Analytics, IBM Data and Analytics Consulting Services