Over its lifespan, IBM i has been called the iSeries, AS400, System36 and more, names that you still might hear from vintage users of the machine. The IBM machine and its embedded devices have produced a plethora of data for more than three decades and it continues to grow exponentially. Most CIOs struggle to manage this huge amount of data to derive insights from the DB2 for stakeholders to trust, consume and make informed decisions.
We help you identify and address these data roadblocks.
Tough to pull data out of the DB2 system
Multiple versions of truth and duplicity is common
Unmanageable data with each passing day
Unable to make informed business decisions
Missing backup processes for disaster recovery
Depending on your business context
Wish to move out of DB2? We can help you migrate all your historical data to the destination of your choice:
Modernize your AS400/IBM i database today for a scalable future with optimized maintenance costs:
Depending on your backup requirements, choose the recovery approach that best fits your need:
Convert your raw DB2 data into actionable insights and take swift data-driven decisions across the business:
We can help enhance your current data landscape by creating an optimised evolution strategy
Level 1: Initial
Without any standards for data management, there is little or no awareness of the importance of data.
Level 2: Managed
Importance is defined, and the organization is working towards a data management strategy.
Level 3: Defined
Data management guidelines are defined with good quality data and are integrated with the company’s processes.
Level 4: Measurable
Data-driven quality goals are defined for all processes, projects, and stakeholders across the organization.
Level 5: Optimized
Data governance is an enterprise-wide effort with interactive real-time dashboards and predictions for better efficacy.
We can help enhance your current data landscape by creating an optimised evolution strategy
Level 1: Initial
Without any standards for data management, there is little or no awareness of the importance of data.
Level 2: Managed
Importance is defined, and the organization is working towards a data management strategy.
Level 3: Defined
Data management guidelines are defined with good quality data and are integrated with the company’s processes.
Level 4: Measurable
Data-driven quality goals are defined for all processes, projects, and stakeholders across the organization.
Level 5: Optimized
Data governance is an enterprise-wide effort with interactive real-time dashboards and predictions for better efficacy.
Drop your details below to embark on the journey!
A glimpse of our industry expertise