Challenges We Solve
Technology Challenges
Technology problems are business problems when people cannot easily access information or move work forward.
DataBank helps highly regulated organizations fix the everyday problems caused by disconnected platforms, manual processes, and outdated ways of managing information. When teams cannot easily find documents, share information, or keep work moving, delays, duplicate work, and compliance issues start to build up.
The Right Fix Depends on Where Technology Is Breaking the Work
The same problem can show up in different ways depending on the tools and processes behind the work. A legacy ECM issue looks different from slow document intake, hosting limitations, or automation that still depends on manual steps.
Different Systems Create Different Breakdowns
The same business problem can appear differently depending on where information lives and how teams work with it. Older platforms and disconnected tools often create delays, duplicate work, and confusion around where information belongs.
Built for Teams Deciding What to Fix First
IT, operations, procurement, and business leaders often need to decide whether to optimize, integrate, migrate, modernize, or replace a system.
Patterns Show Up Across Technology Environments
Across technology environments, the problems are often similar: information is hard to access, systems do not connect cleanly, governance is inconsistent, manual work continues, and modernization feels risky. DataBank helps teams identify the pattern and choose the right next step.
Every organization runs into different technology-related problems depending on how documents, information, and work move through the business.
Explore Where Technology Challenges Are Creating Friction
Where work slows down, governance weakens, manual effort increases, or modernization becomes harder to control.
Legacy Systems Consolidation & Modernization
Legacy systems become a challenge when they are expensive to maintain, hard to connect, and risky to modernize without disrupting daily work.
Common Challenges:
- Too many legacy repositories
- Overlapping systems and workflows
- High maintenance burden
- Inaccessible historical content
- Migration and modernization risk
- Dependence on outdated infrastructure
What Organizations Are Often Trying to Achieve:
- Simplify the technology environment
- Reduce maintenance overhead
- Consolidate systems and repositories
- Improve operational stability
- Support scalable modernization initiatives
Capture & Extraction Technologies
Capture and extraction tools fall short when incoming documents still require too much manual review, correction, indexing, and routing before work can move forward.
Common Challenges:
- Manual document intake and routing
- Inconsistent indexing and classification
- Poor extraction accuracy
- Delayed processing timelines
- Limited visibility into document status
- Difficulty scaling intake operations
What Organizations Are Often Trying to Achieve:
- Improve document processing speed
- Increase extraction accuracy
- Reduce manual handling requirements
- Improve searchability and visibility
- Create more consistent intake workflows
AI & Automation Platforms
AI and automation efforts stall when information is incomplete, systems are disconnected, and workflows still depend on people to bridge gaps between steps.
Common Challenges:
- Automation initiatives not scaling
- AI blocked by inaccessible or unstructured information
- Disconnected workflows across systems
- Lack of process visibility
- Weak orchestration across tools
- Digital investments not delivering expected value
What Organizations Are Often Trying to Achieve:
- Improve automation readiness
- Reduce repetitive manual work
- Increase operational consistency
- Improve process visibility
- Support scalable automation initiatives
ECM Cloud Hosting
ECM hosting becomes a challenge when older infrastructure is costly to maintain, difficult to secure, and unable to support the access, reliability, and scale the operation needs.
Common Challenges:
- Aging ECM infrastructure
- High hosting and maintenance costs
- Limited scalability and flexibility
- Security and governance concerns
- Disaster recovery limitations
- Difficulty supporting distributed teams
What Organizations Are Often Trying to Achieve:
- Modernize ECM infrastructure
- Improve operational flexibility
- Reduce infrastructure management burden
- Improve system accessibility
- Support long-term scalability goals
Content & ECM Platforms
Content and ECM platforms become difficult to manage when records live in too many places, governance varies between teams, and information cannot be accessed consistently or confidently. DataBank helps organizations improve how content moves across platforms like Box and Hyland OnBase so information is easier to govern, access, automate, and scale. Based on DataBank’s Hyland partnership and Box strategic partnership positioning, the focus should stay on operational visibility, governance, intelligent content management, and connected workflows.
Common Challenges:
- Disconnected repositories and content silos
- Inconsistent governance and retention practices
- Duplicate records across teams and departments
- Limited visibility into content lifecycle activity
- Difficulty supporting secure collaboration and access
- Manual document routing and approvals
What Organizations Can Achieve:
- Improve access to enterprise content across departments
- Strengthen governance and records management practices
- Reduce duplicate content and disconnected repositories
- Support cloud-based collaboration and secure content sharing
- Improve visibility into content lifecycle and workflow activity
- Connect content platforms with downstream operational processes
Frequently Asked Questions
Why are our systems not working well together?
Many organizations rely on platforms that were implemented at different times for different needs. Over time, those systems can create duplicate work, inconsistent information, and limited visibility. The issue is often not one system alone, but how information moves between systems and teams.
Do we need to replace our legacy systems to modernize?
Not always. Many organizations modernize by improving workflows, consolidating repositories, digitizing documents, and improving access to information before replacing core systems. The right approach depends on the system, the process, and the risk of disruption.
Why is automation difficult in older technology environments?
Older systems often rely on manual steps, inconsistent workflows, disconnected repositories, or information that is hard to access in a structured way. These gaps make it harder for automation to act reliably.
How do organizations modernize technology without disrupting operations?
Many teams take a phased approach. They improve specific workflows, repositories, or document processes first, then expand modernization over time. This reduces risk while improving long-term flexibility and scale.
A mid-Atlantic health system boosts data accuracy with Subject Matter Expert Data Validation.
See how DataBank helped a health system improve the
accuracy and consistency of information entering its systems,
reducing downstream friction for the teams and tools that
depend on that data.
Solve the Right Challenge in the Right Technology Environment
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Discuss your technology challenges with DataBank specialists who understand complex workflows, disconnected systems, and operational bottlenecks.
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