Datalytics, LLC

big data analytics

FOUNDING YEAR: 2016
LOCATION: United States
Last Update: 08/09/2020

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About

First and foremost, we are experts in the investment process and investment operations. The principals of the company have over 20 plus years working for either investment institutions, wall street investment banks or financial technology software companies. Second, we are experts in solving problems that use “big data” architecture focusing specifically on delivering investment intelligence. We deliver solutions that address predictive analytics from investment operation and investment data. We are specialists in using machine learning architecture to deliver investment intelligence. We combine big data technology with traditional relational data technology in agile ways that take advantage of both. We are also cognizant that many investment data warehouse projects have not deliver its promises of providing useful investment analysis to the end users who need it most. Thus we are hyper focused on the results, the ability to generate predictive analytics and not just building a data infrastructure.

Focus

PRODUCTS & SERVICES

PROFIT360 - Profitability Scenario Analysis Profit360 addresses the current issues of providing cost and income transparency to regulators and investors. Building on top of our expertise in non-relational technology to model complex legal entities and investment vehicles, our product can easily allocate portion of charges, expense & income to any accounts, portfolios and roll them up to the deals or legal entities. Our product can also allocate gross cost amount such as legal & IT fees at the fund level down to underlying accounts. Such flexibility of cost and income allocation allows our user to understand the business drivers of profitability for a legal entity or for any structured investment vehicles setup in our Deal360.

REVENUE MODEL

Cloud-based subscription service - Quarterly or Monthly Payment

MAIN CLIENTS

Retail investors

PRIMARY PROBLEM SOLVED

Profit360 implements an activity-based cost and income allocation method. The product identifies the expensive corporate overheads whose consumption varies significantly by investment vehicles or product lines such as: legal personnel, information technology expenditure and expensive back office systems. For each corporate overhead, a rule-based cost-driver is defined and the assigned to any account, portfolio, legal entity or investment vehicle. Profit360 will then automatically figure out how best to aggregate the revenue, fees, cost and performance according to the ownership structure defined in the deal.

INTELLECTUAL PROPERTY

Patent(s) NOT_FILED

Traction

REVENUE

$100k - $499k

ACTIVE USERS:

15

company provided insights

People

BOARD MEMBERS AND ADVISORS

Yen Nhi Bui

company provided insights

Momentum

FUNDED

NO

LISTED

NO

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Datalytics, LLC

About

First and foremost, we are experts in the investment process and investment operations. The principals of the company have over 20 plus years working for either investment institutions, wall street investment banks or financial technology software companies. Second, we are experts in solving problems that use “big data” architecture focusing specifically on delivering investment intelligence. We deliver solutions that address predictive analytics from investment operation and investment data. We are specialists in using machine learning architecture to deliver investment intelligence. We combine big data technology with traditional relational data technology in agile ways that take advantage of both. We are also cognizant that many investment data warehouse projects have not deliver its promises of providing useful investment analysis to the end users who need it most. Thus we are hyper focused on the results, the ability to generate predictive analytics and not just building a data infrastructure.

Focus

PRODUCTS & SERVICES

PROFIT360 - Profitability Scenario Analysis Profit360 addresses the current issues of providing cost and income transparency to regulators and investors. Building on top of our expertise in non-relational technology to model complex legal entities and investment vehicles, our product can easily allocate portion of charges, expense & income to any accounts, portfolios and roll them up to the deals or legal entities. Our product can also allocate gross cost amount such as legal & IT fees at the fund level down to underlying accounts. Such flexibility of cost and income allocation allows our user to understand the business drivers of profitability for a legal entity or for any structured investment vehicles setup in our Deal360.

REVENUE MODEL

Cloud-based subscription service - Quarterly or Monthly Payment

TOP PROBLEM SOLVED

Profit360 implements an activity-based cost and income allocation method. The product identifies the expensive corporate overheads whose consumption varies significantly by investment vehicles or product lines such as: legal personnel, information technology expenditure and expensive back office systems. For each corporate overhead, a rule-based cost-driver is defined and the assigned to any account, portfolio, legal entity or investment vehicle. Profit360 will then automatically figure out how best to aggregate the revenue, fees, cost and performance according to the ownership structure defined in the deal.

PRODUCT DEVELOPMENT STAGE

MARKET TRIAL

KEY DIFFERENTIATORS

We are specialists in using machine learning architecture to deliver investment intelligence. We combine big data technology with traditional relational data technology in agile ways that take advantage of both. We are also cognizant that many investment data warehouse projects have not deliver its promises of providing useful investment analysis to the end users who need it most. Thus we are hyper focused on the results, the ability to generate predictive analytics and not just building a data infrastructure.

PRIMARY CUSTOMER TYPE

Enterprise - Banks or Financial Institutions

PRODUCT ATTRIBUTES

SaaS

Customer facing

Traction

ANNUAL REVENUE:

$100k - $499k

ACTIVE USERS/ACCOUNTS:

15 Million

LIVE USERS/TRANSACTIONS:

Yes, in trial/pilot

CHANNEL STATUS

INITIAL CLIENTS

NUMBER OF CLIENTS OR PAYING CUSTOMERS

1

People

NUMBER OF EMPLOYEES

11-50

TEAM COMMENT:

We are located in the city, Da Nang, Vietnam with access to several of the best universities in the country. The city's low cost of living, beaches, clean air made it very desirable in Vietnam. This has allowed us to assemble a group of young & talented programmers. We have two PhDs in Physics in our staff who help us develop our AI models. In addition, our CTO is an expert in machine learning having build,sold several financial technology companies in the United States.

Momentum

FUNDED

YES

FUNDING COMPLETED

NO

LISTED

NO

FUNDING SERIES
Seed
Aug 2016
USD500 K
at a USD2 Mvaluation
Comment on Seed
Working on Series A funding