Top five phrases you hear in the entrepreneurship world and their real meaning

Phrases you hear in the entrepreneur world and their real meaning 1. “We are going to be in break even in three months” means “we are not considering 90% of our costs”. 2. “We are unique because our algorithm…” means “we are unique, ok???, no more comments”. 3. “We have no competition” means “we are doing this because we like it, so we never spent 5 seconds to search on Google”. 4. “Our valuation is…” means “Any seven figure number and it’s yours”. 5. “Our product fits client needs because people like” means “we like…” Not having a data-driven culture

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How to accelerate the flow of money in your company

The idea of Meta Analytics (Beyond Analytics) is showing a new way of understanding business, so we can measure them in a properly way facilitating a decision making process that brings companies closer to their business results. The current method to measure performance is through KPIs or Key performance indicators. KPIs were helping us measure performance for several years and the feeling was always (at least in my case) that they are more useful for measuring the performance of áreas or departments from companies than for measuring the overall performance of the organization. The Meta Analytics view of systems makes

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How converting you Startup into a Corporation and not die trying

In my previous post I wrote about organization structures. One interesting thing about them is that Startups want to become big corporations, but more than 90% of them fail. Big corporations want to have “Entrepreneurial structures” but they normally fails in its implementation. Let’s try to understand this confusing behaviour pattern. One of the organizations structures that we’ve mentioned in the previous post was the “Entrepreneurial Organization” that has a flat and simple structure were everything is relatively unstructured and informal making this type of organization fast, flexible and lean. Probably is the model that most companies want to copy

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The hidden part of the iceberg

Has well as you can’t manage what you don’t measure, you can’t measure what you don’t understand or don’t know. That’s why I was writing in the past posts about systems, then about organisational systems. During last years companies were trying, without really achieving any interesting result, to implement data driven cultures as a way to combat the disorientation generated by the surfeit of information. The failure can be explained by the non-systemic view managers normally has about organisations. They addresses the problem in the same way they converted they companies in Green Companies, by adding an isolated area in

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Composing parts (Variables) of a Company and their impact in business results

In my previous posts I was talking about theories of systems and the “Meta Theory” called General Theory of Systems as a way of simplifying and studying organisations. In this post we will organise the parts of the Organisation Systems in general categories that can be also taken as “Variables” for its future “Flow Analysis”. INPUTS: Data. Money. Work. Technology. Energy. Capital Goods. Equipment. PROCESSING: Production Lines. Assembly lines. Management and skills. Generate interest in purchasing. Increase engagement. OUTPUTS: Products. Services. Results. Sales. Registered user. Dividends. Taxes. Information. Customer satisfaction. Employee satisfaction. CONSTRAINERS: Company internal lobby. User experience management. Change

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The Data Driven culture component for startups

Two years ago I’ve been invited by Lorena Suarez to be part of the mentors that help Wayra’s startups improve their analytics skills. At the beginning I was a little confused since I normally work with big companies that not only have an information caos but in several cases they don’t have a data driven culture, which is normally the biggest problem. When the information began to abound big companies started a chase to get the best scientist/Analysts to solve the problem. Later on they began to notice that the problem was not getting solved and the confusion turned no

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How to make a self explaining reports

The Digital Analytics Association defines Digital Analytics as the measurement, collection, analysis and reporting of internet data for purposes of understanding and optimising digital usage. It’s not a minor thing that analysis and reporting are separated. Analysis and reporting are two really different things. 1. Analysis: Is the process of breaking a complex topic or substance into smaller parts to gain a better understanding of it. The technique has been applied in the study of mathematics and logic since before Aristotle (384–322 B.C.), though analysis as a formal concept is a relatively recent development. The word comes from the Ancient

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Marketing is about people buying intention. Conjoint Analysis 101.

We’ve already talked that companies have one main objetive, earning money. If we add the variable ‘t’ we can split this main objetive in two, present and future earnings. The present earnings is the Company’s current economic result, while the future earnings are determined by the buying intention. On the other hand the above mentioned buying intention it’s the result of several variables that occurs together like: 1. The person have the need or intention to buy something in particular. 2. The company have the product that can satisfy the generic need. 3. The person have the money to buy

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Information Chaos? Analytics Governance is your only salvation

Most companies were founded in a time when there was a shortage of information. Getting the information was extremely expensive and not very useful since it normally came along late (normally just to justify a decision what was already made) . Today getting information is not expensive any more. Actually you have information everywhere and almost in real time for a very low cost. This avalanche of information instead of improving the decision making process is making it harder or in most cases impossible. Today’s managers and executives say that they are drowning in data. Most of they already attempted

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HOWA Buenos Aires 2013!

Organised by Intellignos, December 10th at the headquarters of the Faculty of Economics of the University of Palermo, the seventh edition of HOWA Buenos Aires, the most important analytics event of the year. Register Here for free When? The 10th of December 2013 from 9am to 6pm. Where? Universidad de Palermo, Larrea 1079, Ciudad de Buenos Aires. Schedule 9 a 9.30 hs Presentación y repaso de temas del año – Auditorio Information Gandalfs Analytics Ninjas 9.35 a 10.20hs Cross device Tracking  Cross device análisis 10.25 a 11.15 hs  Herramientas de usabilidad  UX Analytics 11.20 a 12.05 hs Coffe Break 12.05 a 13.00 hs

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