Blockchain analytics tools Company presentation Supported by - - PowerPoint PPT Presentation

Company presentation

Blockchain analytics tools

Supported by

2

Creating opportunities from network complexity

Our tools aims at:

• Valorize transactional data to create lever of development for blockchain actors
• Organize the overall on-chain data and make it actionable
• Analyze products and services to better understand value creation mechanisms

We develop analytic tools through big data and machine learning approaches

• Transactional data extraction
• Analysis modules and processing
• Interpretation in a business logic
• Performance indicators and decision-aiding tools

3

Building an intelligence engine

Blockchain analytics tools with a Business intelligence orientation:

• DataViz, wallets’ behavior analysis, KPIs
• API access, dashboards editor, SaaS software

To support application providers:

• Usage analysis
• Performance management
• Sectorial study
• Product optimization

4

Scientific and theoretical approach

Our scientific model is composed of three main steps:

• Describe and organize transactional data through graph model
• Characterize the interaction of entities within the network
• Apply machine learning algorithms to process the data set

It enables us to:

• Segment

the network by behavior categories (mining, exchange, ICO, investors, users)

• Aggregate transactional data related to wallets’ activity on

different networks (cross-network analysis)

• Offer an interactive user interface to edit dashboard and access

advanced modeling tools An academic collaboration has been started with LIRIS / CNRS on all these R&D topics.

5

Deployment for mono-token networks

To study a token and the behavior of actors within its network :

• Visual representation of the overall network structuration
• General statistics about the network activity
• Analysis of the token usage through several Key Performance

Indicators

• Characterization of actor’s behavior all along the project

development

1 000 2 000 3 000 4 000 5 000 6 000 7 000 8 000 2017-04 2017-05 2017-06 2017-07 2017-08 2017-09 2017-10 2017-11 2017-12 2018-01 2018-02 2018-03 2018-04 2018-05 2018-06 2018-07 2018-08 2018-09 2018-10

Number of wallets regarding different types of behaviors

Micro incoming investor Little incoming investor Medium incoming investor Big incoming investor Micro trader Little trader Medium trader Big trader Micro outgoing investor Little outgoing investor Medium outgoing investor Big outgoing investor Micro holder Little holder Medium holder Big holder

*More details available on our first public report release

6

Commercial offer

Usage analysis Monitoring dashboard System optimization Features

• Visualization

tools for system use in real time

• General

statistics and network activity Features

• Multi-dashboards,

performance indicators and behavior analysis

• Cross-analysis

regarding usage modalities and actors involved Features

• Decision-aiding tools
• Optimization loops

Pricing

• Setup costs regarding the blockchain standard

involved and the usage modalities

• Variable

pricing regarding the features and indicators within dashboards, and the number of users

• On-demand

estimation for home-made

• ptimization loops

Contact us

contact@nyctale.io