Skip to main content

Problem solving in a company - Don't wait too long

By
What is happening when something goes wrong in a big company?
First things is a buzz, then people start to talk between them, after that a lot of meetings are organized at different level to see identify the root problem, the causes and discuss a lot of around what they should do.
In the end a committee is organized, with a stakeholder, an accountable and other so on. This committee will start all the process from beginning, will try to understand exactly what went wrong and prepare one or more solutions.
Of course each solution has a strict plan, with new process and imaginary solutions.
Why imaginary solutions?
Well, none of them were tested. Unfortunately, people from the committee didn't worked on the 'war' field and don't know the voice of the 'people'. Because of this solutions proposed by them will not be seen with good eyes by people.
A lot of time, this solutions don't have any connection with the real problem, are very complicated and are coming to late. To late means a fail, because you already lost the war.

What should we do in situations like this?
  • I would involve people from field to resolve the problem.
  • Try the most simple solutions.
  • Don't wait too long, try a solution, see if it's works and move to another one if the problem persist.
  • Don't add a new process to an existing one only to have more control.
  • Let solutions to grow and die organic. Don't enforce and die with them if are not good.
  • Be open to change.
  • Be prepared to recognize a fail - "fail fast".
  • React to change and don't wait too long.
All this ideas and many more are around to things that are very important:
  • React fast, don't wait to much. Each additional second that you wait will add an extra cost to you. Try each solution.
  • Involve people from field when you investigate the problem and search for a solution.
If everything fails don't be afraid to ask for help from an external resource. All around the world there are people better than you, that already had this issues and solved it.


Comments

Post a Comment

Popular posts from this blog

Why Database Modernization Matters for AI

By
  When companies transition to the cloud, they typically begin with applications and virtual machines, which is often the easier part of the process. The actual complexity arises later when databases are moved. To save time and effort, cloud adoption is more of a cloud migration in an IaaS manner, fulfilling current, but not future needs. Even organisations that are already in the cloud find that their databases, although “migrated,” are not genuinely modernised. This disparity becomes particularly evident when they begin to explore AI technologies. Understanding Modernisation Beyond Migration Database modernisation is distinct from merely relocating an outdated database to Azure. It's about making your data layer ready for future needs, like automation, real-time analytics, and AI capabilities. AI needs high throughput, which can be achieved using native DB cloud capabilities. When your database runs in a traditional setup (even hosted in the cloud), in that case, you will enc...
Post a Comment
Read more

Cloud Myths: Migrating to the cloud is quick and easy (Pill 2 of 5 / Cloud Pills)

By
The idea that migration to the cloud is simple, straightforward and rapid is a wrong assumption. It’s a common misconception of business stakeholders that generates delays, budget overruns and technical dept. A migration requires laborious planning, technical expertise and a rigorous process.  Migrations, especially cloud migrations, are not one-size-fits-all journeys. One of the most critical steps is under evaluation, under budget and under consideration. The evaluation phase, where existing infrastructure, applications, database, network and the end-to-end estate are evaluated and mapped to a cloud strategy, is crucial to ensure the success of cloud migration. Additional factors such as security, compliance, and system dependencies increase the complexity of cloud migration.  A misconception regarding lift-and-shits is that they are fast and cheap. Moving applications to the cloud without changes does not provide the capability to optimise costs and performance, leading to ...
Post a Comment
Read more

Cloud Myths: Cloud is Cheaper (Pill 1 of 5 / Cloud Pills)

By
Cloud Myths: Cloud is Cheaper (Pill 1 of 5 / Cloud Pills) The idea that moving to the cloud reduces the costs is a common misconception. The cloud infrastructure provides flexibility, scalability, and better CAPEX, but it does not guarantee lower costs without proper optimisation and management of the cloud services and infrastructure. Idle and unused resources, overprovisioning, oversize databases, and unnecessary data transfer can increase running costs. The regional pricing mode, multi-cloud complexity, and cost variety add extra complexity to the cost function. Cloud adoption without a cost governance strategy can result in unexpected expenses. Improper usage, combined with a pay-as-you-go model, can result in a nightmare for business stakeholders who cannot track and manage the monthly costs. Cloud-native services such as AI services, managed databases, and analytics platforms are powerful, provide out-of-the-shelve capabilities, and increase business agility and innovation. H...
Post a Comment
Read more