Say goodbye to inflexible databases!

One thing inflexible databases hate, is change. Unfortunately in today’s world most of life is about change.  If we cannot manage change, we cannot manage life. For your database to remain relevant going forward, it needs to accomodate the ability to change. 

Your database systems may have worked well enough for you when they were first built. But if they aren’t flexible and adaptable to move with your business as the world changes, they could be a dead weight around your neck.

You’ll be able to relate to the following…

Problem Symptoms

Symptoms such as…

  • Laborious manual ‘work-arounds’ to cater for new and different job types.
  • Some job types aren’t recorded because the system can’t handle them.
  • Can’t offer new services because system can’t handle them.
  • Lose competitive edge because can’t innovate or adapt to changing customer demands.

What you would need

Your organisation can find a whole new level of freedom and productivity by getting an agile database solution that:

  • Is flexible and scalable to adapt to business growth and changes.
  • Thinks like you’ – vs standard systems that you have to fit into.
  • Only requires you to enter data once – and pull it out for multiple reporting needs.
  • Guides and ‘constrains’ staff to enter data correctly to prevent errors – idiot proof.
  • Gives visibility of your whole operation – the big picture.

If you want to achieve it

“Think about what you want … not what you have.”

  • Look at what you are doing.
  • Assess the areas where flexibility and adaptability will give you the greatest benefit.
  • Focus on these and think how you should be flexible or adaptable.
  • Stretch the realms of possibility, for now is the time to dream a little.
  • Create a list of desired changes.
  • Map-out the interrelationships.
  • Figure out the databases to create, merge or keep stand alone.
  • Design the screen layouts you need to make it work.
  • Write the appropriate computer code and build the solution.
  • Populate databases with data.
  • Cutover to new features.
  • Monitor changes and support users through transition.