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About DataVLT(DVLT)

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What problem does DataVLT solve? (or: what human need does it satisfy?) and how exactly does it do so?

DATAVLT acknowledges the potential polymorphic capabilities of the Blockchain technology and will be leveraging its decentralised framework mainly on data exchanges to ensure auditable and accountable processing trails. The utility of this approach is scalable and can support volumes from small to large businesses and organisations. Essentially, the DATAVLT platform aims to drive cost efficiency by providing affordable data analytics services.

How is the idea monetized? How do the token holders profit?

In turn, businesses and organisations, especially SMEs, do not need to be incapacitated by heavy investments into backend technical infrastructures and data science talents. The DATAVLT data processes are driven by artificial intelligence and machine learning. This symbiosis between big data, analytics and the users provide a secured and structured approach to analysing to data.

Team

DataVLT's team members.

Benny Low

Benny Low

Co-Founder

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Michelle Yeo

Michelle Yeo

Co-Founder Business Ops & Strategic Development

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Willy Wong

Willy Wong

Co-Founder Brand, Marketing & Technical Development

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Roadmap


 
Phase 0: 2017 Correlational Analytics MVP 1st Half Data Science Framework Design of Tracer Algorithmic Module Design of Tracker Algorithmic Module Design of Correlational Analytics Module 2nd Half Data Science Framework Design of Correlational Analytics Module Design of Data Cleaning Module Blockchain Framework Assessment of Qualifying Hybrid Blockchain Framework
Phase 1: 2018 DATAVLT Platform MVP 1st Half Data Science Framework Development of Data Cleaning Module DATAVLT Platform Design & Development of DATAVLT SaaS Platform Design & Development of DATAVLT Ecosystem Digital Wallet Pilot Partners Program Open Registration of Pilot Partners Program 2nd Half Data Science Framework Development of Correlational Analytics Module Blockchain Framework Finalise Design of Hybrid Blockchain Framework Publication of Hybrid Blockchain Framework Yellow Paper DATAVLT Platform Deployment Phase 1 of DATAVLT Ecosystem Digital Wallet
Phase 2: 2019 DATAVLT Platform Pilot 1st Half Data Science Framework Deployment of Data Cleaning and Correlational Modules Development of Tracker and Tracer Algorithmic Module DATAVLT Platform Deployment of DATAVLT Pilot SaaS Platform Deployment Phase 2 of DATAVLT Ecosystem Digital Wallet Pilot Partners Program Commencement of Phase 1 of Pilot Program 2nd Half Data Science Framework Development of A.I and Machine Learning Module Development of Analytics Visualizer Module Blockchain Framework Integration of DATAVLT Platform into Blockchain Framework DATAVLT Platform Development of DATAVLT Market Ecosystem
Phase 3: 2020 Vertical Development 1st Half DATAVLT Platform Deployment of DATAVLT Open Beta SaaS Platform Development of DATAVLT Platform Open Source API Framework Application Verticals Development of Brand-to-Business Analytics Management Vertical Development of Predictive Market Forecasting Vertical Pilot Partners Program Commencement of Phase 2 of Pilot Program
Phase 4: 2021 Launch of DATAVLT 1st Half DATAVLT Platform Release of DATAVLT Platform Developer APIs Deployment of DATAVLT SaaS Platform (Live) Deployment of DATAVLT Native Android/iOS Platform
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Quick notes

Tokenomics

Token Info

Available tokens: 40% Price: 1 ETH = 6000 DVLT Soft Cap: 50000 ETH Hard Cap: 100000 ETH Buy with: ETH BTC USD Platform: Ethereum Location: Singapore Restricted: None

Other Info

MVP/Prototype: No Escrow: Yes Category: Computing & Data Storage

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What problem does DataVLT solve? (or: what human need does it satisfy?) and how exactly does it do so?

DATAVLT acknowledges the potential polymorphic capabilities of the Blockchain technology and will be leveraging its decentralised framework mainly on data exchanges to ensure auditable and accountable processing trails. The utility of this approach is scalable and can support volumes from small to large businesses and organisations. Essentially, the DATAVLT platform aims to drive cost efficiency by providing affordable data analytics services.

How is the idea monetized? How do the token holders profit?

In turn, businesses and organisations, especially SMEs, do not need to be incapacitated by heavy investments into backend technical infrastructures and data science talents. The DATAVLT data processes are driven by artificial intelligence and machine learning. This symbiosis between big data, analytics and the users provide a secured and structured approach to analysing to data.

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