What is your data not doing? Find the information you need Five lessons I've learned from Narrator co-founder Cedric Dussud -

2013. This week marks Cedric Dussud's debut week as the new engineer director at WeWork.

WeWork isn't yet the organization that's revolutionized how companies run their business. The company is managing just a few office space located at New York at the time.

Also, it's growing rapidly.

In the first week of the month Cedric was called to Adam Neumann's CEO's office.

"So it's Adam director in the department. Chief, I'm also" Cedric told me. "And Adam basically says, "Hey I'm desperately in need of you to develop an automated system for billing. and I'm looking for it within the next 3 weeks.'"

This is exactly what Cedric and his team performed. Cedric's main responsibility during the following five years was to expand the capabilities of WeWork's billing systems. WeWork billing and billing system expanding the WeWork business within its eight offices and up to 400 offices..

In this way, Cedric learned a thing or two about handling the data.

Actually, Cedric and Ahmed Elsamadisi who was an executive engineer in the data department at WeWork during the initial days they learned so much about ways to increase the performance of data, which led them to develop entirely new method to make it simpler.

Together, they developed Narrator Narrator, that is a system for data , which allows businesses to conduct business intelligence operations without the expense of a huge data staff.

Cedric was able to talk to me recently to talk about the key insights that he gained from the information found in WeWork the lessons that he learned and the way they shaped the basis of Narrator's current.

There's an abundance of thoughts that stood out for me. A few of them were:

• The reason why the numbers don't always add up.
• What's the next thing to do when there's just one source that can be relied upon for truth.
• You should not be too sure regarding the security of private information that you've saved.
• If you are in need of a professional in the field of information science, they will be able to assist (and even if not).

Read the full interview, or read my key insights from the discussion.

5 Lecons Ledric took from Cedric's Experiment

I gained a lot from watching Cedric's interview. Below are my top five aspects of the interview

1. Data Formulas are Subtly Individualized

Data science can be a huge distinct advantage in contrast to engineering software.

Within the realm that of engineering software, if you have a proven technology and you are able to take lessons from what coders who have accomplished before you.

Since data is updated every whenever you come up with something fresh, it is possible to reproduce the code. The reason for this is that definitions can differ slightly between data reports.

Cedric used the example of a CEO, who required quarterly sales reports, which could be broken down into distinct areas.

"You usually have to begin over and create a new SQL to deal with it," Cedric explained.

"You have a feeling that, in the event you were required to create the quarterly sales report from the past, that you'll be able to discover ways to make use of this report in order to segment it by region, and maybe duplicate their methodology. If you are unable to understand the reasoning behind their report, you'll be required to come up with your own. Your argument is different with subtle differences."

If you're using this data for business purposes small changes are likely to be noticed in the shortest amount of period of time.

"You may end up having several subtle differences within the company," Cedric told us. "And it's normal for the CEO would go into the organization and ask "Why your numbers aren't aligned? What's wrong?"

2. There isn't a single reliable source to verify the facts.

These platforms with built-in analytics will provide you with a wealth of information but they don't give you any information about the flow of data across different applications in your organization.

Cedric led the way in citing online advertising.

An online platform will provide specific data about the number of advertisements that were shown along with their costs and other data. They can also try to determine how many potential buyers have seen an advertisement prior to buying. If you're advertising across multiple platforms, there's no one platform that will give all the information needed to offer a comprehensive solution, since they're separated from each other.

"If you were able to combine all the orders Facebook thought it was responsible for, as for each purchase Google believes it is accountable for, this is more than 100 percent of the orders you place" Cedric explained. "That's an example of why it's impossible to believe the figures. Truth isn't anywhere in the numbers. Truth is, it is in all other cases."

3. Make sure you challenge your numbers

Cedric advises you to do not be relying on the data of a company unless you are aware of which source these information comes, and the way they're determined.

It is also essential to dig deep enough to ensure you are able to comprehend and trust the facts the company is dealing with so that you are capable of making the best choice for your company.

"It can be just as damaging to overdo it with data than it would be to perform this task over and over again," he explained. "If you're thinking there's an issue and you're doing things right it's time to use your mind and be thinking about the things you're doing. This is not it's not but if you've discovered an innovative program that will provide answers to all your questions and say " That's cool, I'm doing an informed decision using my knowledge."

4. Employ an Analyst to study the information you've got in the event that it's spread across multiple Systems

There's no reason to require the creation of an enormous analyst team from the beginning. If you're digging deeply into your data, it can lead to a naive distraction.

"When you're in a small company, you're engaged by where things are going and you're able comprehend the information you're using" explained the expert. If that's the case then there's no reason to hire an analyst at the moment or, at a minimum.

But, as your technology stack grows, your figures begin to appear suspect for the CEOs and the founding members.

"When you're at a point where data starts to get scattered across several sites which means you lose the capability to analyze the situation."

The time is now to have an analyst create an comprehensive plan for the data you have An expert can help assure you that it is safe to trust your data again.

5. Focus your attention on initiatives that will attract new customers.

In the year Cedric invented the process for billing that powers the international businesses like WeWork however, WeWork's founder WeWork could neverrecommend the idea that SaaS entrepreneurs should follow similar items.

The process took months of constant working Cedric to design a preliminary prototype of the software utilized by WeWork to be put into production. An initiative that, as he said, wasn't worthwhile in comparison to the smaller SaaS and software companies.

"Work to improve your marketing. Learn about the needs for your clients are, and look into different features that will increase your profits for your company" told the guy. "Don't come up with your own way for billing."

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