Data are the events recorded in the world. Anything that can be measured or even categorized can be converted into data. Once collected, these data can be studied and analyzed both to understand the nature of the events and very often also to make predictions or at least to make informed decisions.
We will give you a new understanding of how to view data, use data, and take benefit from data. Where, of course, this cannot be obtained easily using traditional or conventional approaches only.
Maybe you've read quotes from professionals who want to explain or describe something. It is hoped will give you a little understanding from a different but still related point of view.
Like some of the quotes from professionals below. Which, we think are appropriate to help you understand about, what is data? data for what? is data important? how you think about data? and so on. As follows:
“Without data you’re just another person
with
an
opinion.”In data we trust
“If we have data, let’s look at data. If all we have are
opinions, let’s go
with mine.” “You need the right balance between data and gut
feeling.”
“Data is the new oil.” “Data is the most valuable asset in the world.”
“The world is now awash in data and we can see consumers
in a lot clearer
ways.”
Data Everywhere
“The goal is to turn data into information, and
information into insight.”
“You can have data without information, but you cannot
have information
without
data.”
“Errors using inadequate data are much less than those
using no data at
all.”
“Using data to finding potensial and opportunity, using data as reference for
decision
making.”
Data = understanding
Through this website, we want to help you achieve the three points above, hopefully this can be realized properly and according to our expectations. And just for the record, than just sample questions on each of the points above, we were able to find the answer...amazziingg.
We suggest that this website should be accessed by you:
Furthermore, to make it easier to understand and clear, we have presented the five frequently asked questions (FAQ) below:
We use 100% data analysis process with Machine Learning (ML)/Artificial Intelligence (AI). What is ML/AI? ML/AI is the practice of programming computers to learn from data.
In ML/AI, data referred to as called training sets or example, then generate models and from these models can be used as measuring tools to produce predictions, decisions, inferences.
Yes!...in other words, process of analyzing the available data it is purely done by machines, meaning that:
Where the analysis process runs automatically, not tired, not sleeping, it can even continuously ... it's amazing !!! ML/AI will help us to learn, and ML/AI algorithms can help us see what we have learned.
What are the data? The data actually are not information. Information is actually the result of processing, which taking into account a certain set of data, extracts some conclusions that can be used in various ways. This process of extracting information from the raw data is precisely data analysis. So, when the data changes, then information extracted from data will change.
Based on the explanation above and related to this website, we focus on analyzing data related to economy, business, and finance. Where, the data that is dynamicly or changes not only per day but even per few seconds.
Furthermore, from these data to make predictions or at least to make informed decisions, for example to answer questions, such as:
In addition, because in the analysis process we use ML/AI, our second advantage is that we can analyze as much of the available data as possible, which means we do not only analyze data but also big data...it's amaazzzing!
The final result of the analysis process is presented in the form of a report, which called as Analysis-Report.
Where, the Analysis-Report contains images or in the form of visualization data in a bar chart and pie chart accompanied by some brief reviews.
What is the reason, why have to deliver the results with data visualization?
We present our analysis report in such a way and as simply as possible with the intention of making it easier for users to understand, who of course have different educational backgrounds.
This is also important when presenting to the panel or public. Other people might just prefer a quick overview of the data without going too much into the details. You don’t want to bother them with boring texts and numbers.
What makes a bigger impact is how you present the data so people will immediately know its importance. This is where data visualization can take place wherein you allow people to quickly explore the data and effectively communicate what you’re trying to say.
It should be noted, that regarding the analysis report there will be two forms, namely the code or keyword SECTORAL, and the code or keyword MODEL (you can download an example through the sub-points below). And of course the two forms of analysis report have differences.
What is the difference between the two analysis reports?
However, to anticipate irresponsible actions (in this case related to the use of our analysis results) we will more often present them in the form of Analysis Report Sectoral, but we do not rule out the possibility that we will also submit an Analysis Report Model for certain reasons.
Keeping secrets by not immediately disclosing the results of our analysis to the public is our step in anticipating irresponsible acts, especially in the use of our analysis results.
Regarding how to access our analysis report, because our website is integrated with the Paypal payment system, it means you must have a paypal account, or parties that have cooperation with Paypal such as certain banks and others.
Once you are ready, the next step is for you to choose and define the case/package analysis that you want to access on our Homepage, and follow the next steps which are very easy and clear, until finally you will download the analysis report.
A little advice for those of you who want to access our analysis report:
I would like to thank you for visiting our website.
In addition, I apologize if there are still deficiencies found on this website. We will continue to develop this website to be even better.
After you read above, now you understand what this website was made for. In short, this website can be said to be a "helper".
With this website I hope to increase your effectiveness and efficiency in terms of data analytics.
First, because it has reduced the length of your time when analyzing data to become information. Because what is conveyed is in the form of information, and no longer data.
Second, the information we convey is not just random information. But information is formed from data or driven by data. So, we couldn't make it up.
Meaning that, the results of the analysis are objective and impartial, in this case what I mean is accuracy. And of course we can prove it.
From these two things, namely speed and accuracy, efficiency is achieved. Remember, that 40% of costs can be reduced by making quick and right decisions.
I hope this website give benefit to all of you...and enjoy it.
Thankyou
Happy nice day
and
God bless you all...
