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Business Pressures–Responses–Support Model Explained

Business Pressures–Responses–Support Model Explained

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Avery Johnson

@averyjohnson

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Alright, let’s keep this simple. Businesses don’t just wake up one day and decide to throw money at IT systems for fun. They do it because of pressure—stuff happening around them that they can’t ignore. And once the pressure builds, they react. To handle it all, they lean on tech for support. That’s the Business Pressure–Response–Support Model in a nutshell.

Pressures: The Push

Every business is under some kind of push. Call it competition, call it customer demands, call it the market being unpredictable—it all adds up. These “pressures” are what force companies to either adapt or get left behind.

Some common ones:

  • Competitors breathing down their neck.
  • Customers who want faster, cheaper, better—yesterday.
  • Technology moving so fast that last year’s “cutting edge” is now outdated.
  • Social and economic shifts that nobody can fully control.

In short: if a business doesn’t feel the pressure, it’s probably not paying attention.

Responses: The Counter-Move

Now, pressure alone doesn’t kill you. It’s how you respond. Businesses have to act—and not in a slow, “we’ll get to it later” kind of way. Responses need to be quick, flexible, sometimes even a bit predictive.

How do they do that? A few ways:

  • Making smarter strategies.
  • Teaming up with partners when it makes sense.
  • Speeding up processes to stay ahead.
  • Testing out new models or new products.
  • Expanding into fresh channels or retailers.

Behind all of this, IT plays a quiet but powerful role. Think data dashboards, warehouses, software that crunches numbers—all the stuff that gives managers the info they need to make a move.

Decision Support Systems (DSS): The Old but Gold Tool

Here’s where it gets interesting. Back in the mid-1900s, businesses started using interactive data systems to help managers make sense of messy problems. These became known as Decision Support Systems (DSS).

What do they actually do?

  • Give decision-makers a clearer view of the problem.
  • Store and organize data so it’s easy to pull up.
  • Simulate scenarios—like a “what if” machine.
  • Help leaders at all levels, but especially middle and top management.

Different industries use DSS in different ways. Hospitals, banks, insurance companies—you name it. Some DSS platforms run for just a handful of managers, others are enterprise-wide.

The key? A good DSS doesn’t just hold data—it suggests actions and helps identify which choices might actually work.

Analytics & Business Intelligence: The Modern Spin

Fast forward to today, and DSS has leveled up. Thanks to Business Intelligence (BI) and Business Analytics (BA), the game looks completely different now.

Here’s what modern analytics brings to the table:

  • Modeling big piles of data into something useful.
  • Running simulations, optimizations, even sentiment analysis (yep, measuring feelings).
  • Handling big data instead of just neat spreadsheets.
  • Delivering insights in real time instead of after the fact.

Of course, garbage in = garbage out. If your data is messy, your insights will be too. But when it’s done right, analytics helps companies see trends, predict what’s coming, and make smarter moves before the competition even sees what’s happening.

Wrapping It Up

So here’s the big picture:

  • Pressure pushes businesses.
  • Response is how they fight back.
  • Support comes from IT systems like DSS, BI, and analytics.

It’s not just a theory—it’s literally how businesses survive in a world that changes faster every year. Companies that lean on these systems don’t just react, they stay a step ahead. And in business, that step makes all the difference.


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