Turning MessyComplicatedOverwhelming Data Into Actionable Insights

Are You Building On Solid Ground?

60% Of Business Leaders Don't Trust Their Data

Too often key business decisions are based on bad data that undermines success. Not only does this compromise the bottom line, but it also hurts morale. When your team tries solutions that miss the mark because they are designed around inaccurate information, they feel depleted and defeated.

Fearful

Fearful

It's not uncommon for leaders to feel fearful when forecasts are off and they're losing the confidence of their colleagues.

Anxious

Anxious

We often meet team members who are stressed. They have implemented the requested strategies but don't achieve desired results.

Are You Building On Solid Ground?

60% Of Business Leaders Don't Trust Their Data

Too often key business decisions are based on bad data that undermines success. Not only does this compromise the bottom line, but it also hurts morale. When your team tries solutions that miss the mark because they are designed around inaccurate information, they feel depleted and defeated.

Fearful

Fearful

It's not uncommon for leaders to feel fearful when forecasts are off and they're losing the confidence of their colleagues.

Anxious

Anxious

We often meet team members who are stressed. They have implemented the requested strategies but don't achieve desired results.

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Annual Savings
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Accuracy in Forecasting
0 %
Increase in Resolutions
0 %
Achievement of SLAs

6-Steps To Data Clarity

Build A Workflow

Build A Workflow

We look at the inputs and outputs into each stage of the value chain.





Analyze Collective Data

Analyze Collective Data

We collect data from multiple sources about the inputs and outputs. Then we cleanse and categorize the data based on meaningful characteristics.


Perform Assessment

Perform Assessment

We evaluate the most common patterns and outcomes. This allows us to glean more detailed patterns, understand where the inefficiencies occur, and gain insights that lead to actionable recommendations.

Map Ideal Scenarios

Map Ideal Scenarios

We identify what should be happening ideally. Then we map improved value chains, noting there can be many branches to an ideal resolution.





Improve Operations

Improve Operations

Next, we make process improvements to cut through the inefficiencies and deliver your desired results. This includes Including data reclassification and training.

Forecast Results

Forecast Results

Equipped with clean data and accurate insights, we can apply proven principles to accurately predict future performance.

What We Offer

Data Cleansing

Data Cleansing

We will collect your data from throughout the value chain, categorize it and clean it.

Data Insights

Data Insights

We will map the current value chain against the ideal value chain, and then implement new process flows.

Forecasting

Forecasting

Based on accurate data and new workflows, we will predict future performance against the results you’re after.

Free Yourself To Focus On New Goals

When you follow our six step process, your future will be built on accurate data rather than hunches, group-think, or outdated and misunderstood information.

Once your data is working for you—instead of frustrating you—you’ll have more time to pursue other important objectives for your business. We would love to help you get back on a solid foundation so you can move skyrocket your success.

Why I'm Passionate About Data

Early in my career, I was tasked with improving the results of field services for a repair company. Everybody could tell me what the problems were and what was causing these issues, yet no one could show me any data about what was causing the problem.

I tried to work with the bad information, but it wasn’t usable, categorized properly, or searchable. There was no real taxonomy, so it was nearly impossible to find patterns, let alone glean insights that would shore up efficiencies and save the company money.

Needless to say, not only was I frustrated, but I was under pressure to explain why the results I was getting from revised processes were not what I expected.

That’s when I started asking questions about what information we were really collecting. I found out that our automated report on which I relied didn’t reflect what was truly happening with our agents on the ground.

I knew the data was flawed. I knew there had to be a better way. 

That’s when I began developing the 6-Steps To Data Clarity. I used this method to save the major retailer where I worked 4.6 Million annually.

To say that I suddenly understood the power of working with the right data is an understatement.

For the past 20 years, I’ve been refining the Data Clarity system, so that I can help more business leaders feel the confidence that comes from knowing, not hoping, that the value chain is not only solid but also optimized. 

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Oren Rosenthal

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