DVT (DATAVLT Token) is pegged at 1ETH to 7500DVT when we release to the exchanges
It translate to about US$0.03 (when 1ETH is $300) per data set you generate.
It is very affordable to most small and medium enteprise

Thank you

That is an excellent question.
The answer is a resounding - YES

Our algorithm can read unstructured data, also perform sentiment and tonality analysis.

(abstract from the whitepaper)
DATAVLT primary focus is on consumer behaviour that draws basic data using parameters derived
from fields such as economics, sociology, and anthropology. Correlating the data with behavioural
inputs like profiling, tonality, and sentiment, allows for deeper and more meaningful analysis of the
data, because these parameters have the potential to create an infinite number of analytical
scenarios that goes beyond primary utility tracking.

We do
1. "Clean" data
2. Correlate your data from your multiple sources
3. Secure your data sets on blockchain

We do not
1. Keep your data
2. Collect your data
3. Keep your private key

I m not so sure about what you meant by waste material part.
We do not junk or delete any data.

The CEO is scheduled to speak in one of the Ethereum Meetup in China in December but the location is still not confirm. It would either be in Shenzhen or Shanghai.

Stay tune for updates 

Hello

a) We have 2 working algorithms which we had done several stress testing. It is still a lab rat at the moment. We are looking to start a dev team for the SaaS and App component of the project
b) I would say that the closest competitor to us are DOMO and HUBSPOT. The differences is we are a combination of them both and our main target market is mid tier businesses who are looking for affordable analytics platforms for their business

You can find out more here
https://youtu.be/PkO-y4ykq8c

and here

http://www.datavlt.com/faqs/

Hi, thx for your kind words

I understand your concerns with 2019.
We are still in talks with one of the world's largest beverage manufacturer (Singapore office) and several marketing agencies to pilot our platform and it is projected to proceed somewhere 3rd or 4th quarter next year. We will keep everyone in the loop on such news once it is official

This is not my arena but I convey your queries and ask my data guys.

At the present moment, our R&D team is running on Cassandra for algorithm validation. (as far as I know)
They are still debating on moving to Spark/Hadoop and the debate got a little heated but I would prefer to leave them alone for now  .

Hi
We plan offer 2 subscription systems
1. Fiat currency subscription (for the old school folks)
2. DVT token subscription (for the cool folks)

You can find out more from the infographics on how the token works in the ecosystem here.
https://www.facebook.com/datavlt/posts/1992298947724285

Hi sorry for the late reply.

I will try to answer as much as I can reveal.
>What kind of software solutions do you use for analytics?
In our backend, we are using 2 usual suspects
1. (modified ver.) of Orange Data mining - to gather data
(We are still looking into Weka Data Mining because it features machine learning and preprocessing but it is in the near future)
2. R Software Environment - for internal testing services

Our key tech is our correlational algorithm which we had developed with some Singapore tertiary institutes (unable to disclose due to NDA but if you google one of our advisors, you will know where  )

>Do you plan to use services of other analyst companies?
Yes, we do.
At the immediate roadmap, we intend to integrate readily available APIs from Facebook, Google etc
We definitely looking forward to also integrate reports from other platforms such as Splunk and Sisense but how willing these big boys want to open up their API is beyond our control.

That is good question and a common misconception.

As we all do agree, it would be insane to load huge amount of data on a single smart contract.

Basically, we do not process the data on-chain. It is done off-chain. The raw data is parsed through our basic analytical filters and correlations models.  These "cleaned" data sets are identified and fingerprinted into the blockchain. What we are trying to do here is to secure ONLY the "cleaned" dataset to ensure that the analysis you had just performed is "kosher" and also to prevent any malicious manipulation or innocent human error that results inaccurate data.


TL:DR:
1. Data analytics is not done on-chain
2. We only store the unique data-set identifier onto the blockchain.

Hi

7% of the raise funds will be allocated to assets procurement
Out of which, 60% of it will be set aside into cloud services subscriptions such as AWS/Azure while 25% of which will be invested for in-house servers for QA and R&D testing. Lastly, 15% of which will spent on office equipments.

Thank you very much for your good wishes.

Support
DATAVLT

Yes, companies can buy 3rd party reports using our platform, for example, the likes of market reports.  However, if your business already has an existing account with those 3rd party companies, with your permissions, DATAVLT can potentially pull the data onto the user dashboard, thus reducing the need the look at multiple reports.

Support
DATAVLT