Data Managed Services
Are you grappling with the challenge of bridging vital skill deficiencies necessary to progress your data plan? Are escalating demands diverting your team from essential daily operations? ACSYOM Managed Services equip you with the required capacity and competence to scale, allowing you to maintain your concentration on your business.
Managed Services Throughout the Entire Lifespan of BI and Data
ACSYOM provides Managed services that cater to the distinct requirements of organizations throughout the complete data lifecycle. We can enhance or assist your team, offering back-end support for cloud data management, front-end aid with data depiction, and managing all tasks in between

Cloud Data Management
- Amazon Web Services
- Microsoft Azure
- Google Cloud Platform
- Migration and integration
- Data governance

Data Engineering
- Google BigQuery
- Snowflake
- Microsoft Synapse
- ETL/ELT
- API/integrations

BI & Visualizations
- Microsoft Power BI
- Tableau
- Looker
- Data marts and catalogs
- Dashboard migrations

User Enablement
- DIY support
- Service Desk
- Ticket management
- Training and workshops
Yes, We Tailor Your BI & Data Managed Services
Contrary to other firms, ACSYOM does not limit customers to a singular managed-services approach. We’ve collaborated with clients of varied sizes, sectors, and stages of data development. We understand the optimal method to serve customers is to be adaptable and customize engagements to cater to the requirements of their specific teams and entities. As customary, we engage with you from your current stance to efficiently assist your progression
Right-Source
ACSYOM invests time to understand your requirements and business goals. We then assemble a bespoke Managed Services team fitting your context. Elements we take into account include:
- Technical stack and infrastructure
- Maturity of data strategy Desired outcomes
- Existing skills and capability deficits
Right-Size
Our cost structure, scalability, and schedules for managed services are personalized to align with your budget and demands. By considering:
- Persistent vs. sporadic needs
- Sustainability requisites
- Expected outputs and checkpoints
- Unique vs. standard services
Operationalize
Our customers affirm that ACSYOM’s flexible engagement methods are key advantages distinguishing us from rivals. We tailor our services in aspects including
- Managing backlog
- Planning for Agile and sprints
- Handling tickets
- Adapting communication approaches
MISSING EXPERTISE? NOT ANYMORE
A financial services client employs a great data analyst who can navigate Power BI and built the dashboard he needed himself. However, they lacked the integration, ETL/ELT, and warehouse expertise needed to pull their data together. Our team helped, and we continue to provide support and maintenance as new integration needs arise.
NEW DATA PROJECTS? HANDLED WITH EASE
A large pharmaceutical has their own in-house team that can handle most of their needs. But when tasked with a new large-scale data migration project, they wanted help. We provided what they needed through a six-month Managed Services engagement and optional quarterly renewals to augment their team’s capacity.
ADAPT TO YOUR PROCESSES? NO PROBLEM
Onebridge uses Microsoft Teams internally and follows a two-week Agile sprint structure. A manufacturing client who hired us preferred to use Slack and their own internal ticketing system. They also wanted weekly sprints. We easily accommodated our client using their preferred tools. And we moved to a weekly sprint structure for a quick and seamless transition.
What to Think About Before Migrating Your Data
“If you are resolute about your data migration project, we’re keen to assist your firm in overcoming any capacity or capability hurdles to ensure success. Conversely, if you’re deliberating over migration, we’d be thrilled to help strategize the most efficient data migration plan for your enterprise.
- What are the fundamental driving forces for your data migration?
- What objectives need to be achieved for your data migration to be successful?
- Which business functions gain most from this migration? Which face the most risk or disruption
- Have you thoroughly examined and validated the platforms or solutions to which you are migrating? (e.g., proof-of-concepts, test environments, simulations, etc.)
- Is it necessary to migrate all your current data? Or is it an opportune moment for data cleansing?
- What essential areas of trust or reliability in your data need to be addressed or ensured during this procedure?”
