Are you ready to shift your business from speculation to certainty?

A revolution is underway in how intelligent organizations make decisions. And if you’re still leading your company using hunches and instinct, you are already way behind the curve.

The Issue: Let’s state the facts:

On the one hand, enterprise businesses say data is becoming more important to business success, predictive analytics software spending will hit $61.9 billion in 2032 according to Yahoo —up from $11.5 billion in 2023.

On the other hand, a surprising 62% of executives prioritize experience and advice over data when it comes to decision making. You’ll agree it’s like setting up for a drive, holding a live ball, and choosing to go out and buy a golf club when you have a high-performance GPS device at hand.

The Solution:

Data-aligned businesses are reaping massive and real rewards from working with analytics. Not from industry consultants’ guesswork but real, quantifiable results that leave traditional business decision making in the dust.

What You Will Learn in this Mini Class:

1. The Impact of Working with Analytics on Business Performance
2. Why 90% of Companies Fail at Data-Driven Decision Making
3. Creating Your Analytics Foundation
4. Unlocking the Hidden ROI of Intelligent Data Use
5. Making Analytics Work for Your Organization

The Impact of Working with Analytics on Business Performance

If there’s one thing that analytics companies do to make things clear to other businesses, it’s to get real with how much these businesses are benefitting by working with analytics.

Data-driven organizations report 3x faster decisions. Visualize it for a second. Three times more effective in hitting the bullseye when calling out a target. And not only more accurate but quicker too.

Businesses working with this data analytics platform and related technological tools make decisions 5x faster than their competitors. In today’s fast-paced market, this pace is critical. While your competition is still having their quarterly meetings to discuss what could possibly work for them, you have tested, applied, and enhanced with a proven solution because you have been using real data.

But now comes the most curious thing…

Companies using predictive analytics increased their revenue by a staggering average of 15%. Seriously! It’s a statistic that anyone with the desire to use real data to start a business would want.

Fifteen percent more profit in the bank because of your capacity to work with analytics in advance and being predictive, not reactive.

Why 90% of Companies Fail at Data-Driven Decision Making

And now for the ugly truth that no one wants to accept:

Most companies are complete flops at using their own data. In reality, they have lots of it – information about their clients, sales reports, market trends, and much more – but they let it get dirty.

Okay. First, let’s answer the question: why are most organizations like that?

There are three key mistakes that businesses make when it comes to acting with data:

1. They treat data as a luxury. A luxury activity only. An activity that the IT department of the company attends to when they have time. Ad servers play a big role in boosting revenues too.

1. They don’t trust their data. A survey found that business leaders trust to use and act on data confidently with about 73% in agreement. If you don’t trust your data, you cannot use it. Full stop.

1. They overcomplicate it all. Analytics does not require a university degree in data science or to start acting with it right away. You need clean data, straightforward instruments, and the discipline to use them in any decision-making process.

Building an Analytics Foundation

Okay. After admitting you have some work to do, where to start when you decide to change the organizational culture in your business?

Begin at a slow pace. Select one area of your business where you believe you need better clarity and data insights for customers to make decisions. It could be your customer retention area, your inventory management, etc. Whichever the case is, concentrate on that target first.

Get your data space in order. This means:

• Removing duplicates, old information or data that’s merely messy or redundant
• Setting up repeatable, simple ways of collecting data
• Creating straightforward dashboards to make the information pop and to be consumed daily or weekly (Don’t forget to create easy consumable documents that any team member could use when asked)

Now. Accept it. There is no such thing as perfect data. But excellent good enough information that you can use is miles ahead of 100% immaculate data that just sits there forever in your excel.

The most crucial point here is to make your data easily consumable. If the team working with you cannot understand what it is they are analyzing, they will not use it.

Simplicity, visual displays, and a focus on the metrics that will make the difference should be your three guides.

Unlocking the Hidden ROI of Intelligent Data Use

Now this is one of the most interesting things for an organization to realize about being data-driven:

Returns go way beyond the 15% more revenue you just heard.

If you are on the first rungs of the organization data hill, you may want to consider going after even more gains:

Operational efficiency at heights. UPS trimmed down expenses by $300-400 million every year by trimming down data regarding driver schedules and routes to pinpoint which parcels were going where every day. That is not more revenue that gets to your bank, it is less expenses coming straight to the bottom line.

Dramatically increases customer satisfaction. If you can be at the party and know what your attendees want (even before they get it) before they even have to explicitly ask, consider magic at work. Netflix dominates video streaming because of their analytics-heavy recommendation engine.

It becomes possible to put in place anticipatory risk management tactics. You can see issues coming instead of having to respond to them once they become full-blown catastrophes in the business world.

The market for predictive analytics software itself is anticipated to grow from $11.5 billion in 2023 to $61.9 billion by 2032. For this kind of market increase to happen, the businesses implementing analytics for their decision-making processes are not only not complaining; they’re singing and dancing the praises of the realness of information.

Making Analytics Work for Your Organization

There’s one thing, though, that is the most difficult to crack by those who hire consultants, and that is:

Analytics implementation in any kind of process or decision making is not about shelling out top bucks for high-end software and then calling out a specialist to use their black magic tools on your data.

Instead, it is about shifting your organizational mindset towards how to make decisions.

Begin by asking the right questions. Instead of beginning with “What happened last quarter or month end,” begin with “what’s likely to occur in the next quarter, what can we do about it, and how will we keep track.”

Set a culture where data has the final word in a discussion. Someone says, “I reckon we should invest in X,” the only possible reply is “what does the data say?” Keep track of how long it takes.

Test. Experiment at all levels, measure and scale the experiments. The riskiest thing is making monumental business decisions without testing.

And, always, remember data cannot make decisions. People do. Analytics can give you superior information to work with; it’s your human reasoning that will extract the value, interpret it, and take action.

Takeaways:

As you can see, the chasm between data-driven organizations and everyone else is broadening quickly.

Data-driven organizations are 23 x more likely to acquire customers. Seriously! This is not a small win but a genuine game-changer.

Companies will win today will not necessarily be the biggest or the ones with the most budgets.

They will be the ones that use data to make superior decisions day in, day out.

Your rivals are already on that path. The question is not if but rather than can you use data-driven decision-making as part of your organizational culture.

Begin today. Start small, but begin today. Pick a decision that you need to make this week and look for information to substantiate that decision. Develop from there, and before you know it, you will not even know how it was to operate in any other way.