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What We Do Pressures Driving Change REGULATORY REPORTING HUB Using Datalytyx Big Data can significantly assist in uncovering fraud across your entire group. TRADE INSIGHT - Using Datalytyx Big Data will speed up and improve accuracy of your business decision making, increasing profitability and customer retention SELF-SERVICE DATA VISUALISATION capability for business users to develop meaningful visualizations that drive positive business change improving accuracy of your business decision making, increasing profitability and customer retention DATA LAKE / DATA VAULT capability of the IT and the business to deploy an manage a modern data storage, processing and analytics system Banking and Capital Market Data Driven Priorities Market Scrutiny; Some of these measures have had pointed objectives, including ensuring a fair marketplace and curbing systemic risk, enforcing minimum standards for pre- and post- trade price transparency. The price discovery and trade execution process is changing, Post Crisis Regulatory Pressure; Additional Regulation has sought to address greater transparency resulting in higher compliance costs if the architecture doesn’t change. A modern data architecture will provide the agility to move away from siloed tactical compliance initiatives and enable transparency by design. Evolving Client Demand; clients are adapting to the changing landscape, generating demand for additional service needs, but they are also exploring opportunities to extend their own role within markets. Clients’ objectives remain centred around maximising returns whilst minimising risk and cost. DATALYTYX BANKING & CAPITAL MARKETS: REGULATORY REPORTING WITH A MODERN DATA ARCHITECTURE WHY Datalytyx? BEST OF BREED SOLUTIONS & PARTNERSHIPS REGULATORY COMPLIANCEMove from a tactical to an enterprise RegTech approach to easily change or add data sources to meet all of your regulatory obligations. RISK DATA AGGREGATIONA bank should design, build and maintain data architecture which fully supports its risk data aggregation capabilities and risk reporting practices to meet BCBS 239 requirements. TRADE REPORTINGOne rules-based approach to address the different reporting requirements of EMIR, Dodd Frank, MiFID II in real time of OTC trades supporting post trade transparency flows to APA’s . TRANSACTION REPORTING Whilst similar in data content this has many more fields, reporting (T+1) and data submitted to an ARM which is for the benefit of NCA’s to detect market abuse. DATA LAKES; Data Lakes provide the ideal aggregated view of data looking for patterns when your algo trading is no longer disguising the trading strategy or is being exploited by somebody else's. Technology has been used to address regulatory requirements for some time with varying degrees of success. Existing systems may be robust but are designed to meet very specific requirements which are inflexible and require development, often in propriety languages. Datalytyx Reporting solutions provide a more flexible approach to build out a regulatory framework to meet the ever changing demand in reporting wit the flexibility to easily make changes not possible in vendor solutions. Datalytyx build modern data architectures that provide the ability to easily change reporting parameters and add new reporting requirements in Real Time and Batch processing methods Exploiting a Modern Data Architecture We Reduce Data Architecture costs by 90% We are Modern Data Architects We are Big Data engineers We are Real-Time Data specialists We are BI Speciasts We Find your unknown, unknowns We have API development skills We are Microsoft AZURE Specialists We have a Strong client delivery track record We are ISO9001 Quality Assured We are ISO27001 Data Security Certified We Mentor Our Customers

Exploiting a Modern Data Architecture · A Data Hub on Modern Data Architecture Technologies Trade Reporting On a Modern Data Architecture NoSQL Data Store, Big Data Data Lake Approach

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Page 1: Exploiting a Modern Data Architecture · A Data Hub on Modern Data Architecture Technologies Trade Reporting On a Modern Data Architecture NoSQL Data Store, Big Data Data Lake Approach

What We Do Pressures Driving Change

REGULATORY REPORTING HUB – Using Datalytyx Big Data can significantly assist in uncovering fraud across your entire group.

TRADE INSIGHT - Using Datalytyx Big Data will speed up and improve accuracy of your business decision making, increasing profitability and customer retention

SELF-SERVICE DATA VISUALISATION – capability for business users to develop meaningful visualizations that drive positive business change improving accuracy of your business decision making, increasing profitability and customer retention

DATA LAKE / DATA VAULT – capability of the IT and the business to deploy an manage a modern data storage, processing and analytics system

Banking and Capital Market Data Driven Priorities

Market Scrutiny; Some of these measures have had pointed objectives, including ensuring a fair marketplace and curbing systemic risk, enforcing minimum standards for pre- and post- trade price transparency. The price discovery and trade execution process is changing,

Post Crisis Regulatory Pressure; Additional Regulation has sought to address greater transparency resulting in higher compliance costs if the architecture doesn’t change. A modern data architecture will provide the agility to move away from siloed tactical compliance initiatives and enable transparency by design.

Evolving Client Demand; clients are adapting to the changing landscape, generating demand for additional service needs, but they are also exploring opportunities to extend their own role within markets. Clients’ objectives remain centred around maximising returns whilst minimising risk and cost.

DATALYTYX BANKING & CAPITAL MARKETS: REGULATORY REPORTING WITH A MODERN DATA ARCHITECTURE

WHY Datalytyx? BEST OF BREED SOLUTIONS & PARTNERSHIPS

• REGULATORY COMPLIANCE– Move from a tactical to an enterprise RegTech approach to easily change or add data sources to meet all of your regulatory obligations.

• RISK DATA AGGREGATION– A bank should design, build and maintain data architecture which fully supports its risk data aggregation capabilities and risk reporting practices to meet BCBS 239 requirements.

• TRADE REPORTING– One rules-based approach to address the different reporting requirements of EMIR, Dodd Frank, MiFID II in real time of OTC trades supporting post trade transparency flows to APA’s .

• TRANSACTION REPORTING – Whilst similar in data content this has many more fields, reporting (T+1) and data submitted to an ARM which is for the benefit of NCA’s to detect market abuse.

• DATA LAKES; Data Lakes provide the ideal aggregated view of data looking for patterns when your algotrading is no longer disguising the trading strategy or is being exploited by somebody else's.

Technology has been used to address regulatory requirements for some time with varyingdegrees of success. Existing systems may be robust but are designed to meet very specificrequirements which are inflexible and require development, often in propriety languages.

Datalytyx Reporting solutions provide a more flexible approach to build out a regulatoryframework to meet the ever changing demand in reporting wit the flexibility to easilymake changes not possible in vendor solutions. Datalytyx build modern dataarchitectures that provide the ability to easily change reporting parameters and add newreporting requirements in Real Time and Batch processing methods

Exploiting a Modern Data Architecture

We Reduce Data Architecture costs by 90%

We are Modern Data Architects

We are Big Data engineers

We are Real-Time Data specialists

We are BI Speciasts

We Find your unknown, unknowns

We have API development skills

We are Microsoft AZURE Specialists

We have a Strong client delivery track record

We are ISO9001 Quality Assured

We are ISO27001 Data Security Certified

We Mentor Our Customers

Page 2: Exploiting a Modern Data Architecture · A Data Hub on Modern Data Architecture Technologies Trade Reporting On a Modern Data Architecture NoSQL Data Store, Big Data Data Lake Approach

REGULATORY REPORTING WITH A MODERN DATA ARCHITECTURE

AMAZON EMR/HADOOP DATA HUB Single authoritative source of risk data costeffective storage of all model inputs and outputs acts as a persistent stagingenvironment. A Hadoop data hub can store fine-grained risk data, aggregate riskacross any hierarchy Support on-demand scenarios analyse using an interactivevisualisation tool. The storage infrastructure also needs the ability to interface andprocess data at volume and speed. This is where the Talend Data Managementplatform provides the agility to build and maintain the data plumbing generatingSPARK code for running fast sophisticated applications.

Trade Reporting On a Modern Data ArchitectureA Data Hub on Modern Data Architecture Technologies

NoSQL Data Store, Big Data

Data Lake Approach

Real Time -Data Analytics

Batch or Real Time Transaction Reporting

Deployment Partners in the leading Big Data Platforms from Cloudera and Horton Works

Escalation Workflows

TRANSACTION REPORTING Easily and economicallymeet new regulatory demands by capturing all ofthe order flow data and storing it in a big data storewhich is low cost by data warehouse standards.Capture granular time stamps and make Tradeexecution data available for consumption. Talendprovides the capability to transform the data tomeet specific report requirements on a drag and

ESCALATION MANAGEMENT– Add the workflow feature for incident management including push to Mobile applications email etc.

About Us

London based, Information Management Consulting

Real Time Data and Analytics Technology

Experience of processing fast moving data

Experts in processing large data sets.

Expertise in Big Data Platforms.

Contact Us: Datalytyx Ltd Holborn Gate, 330, High Holborn London WC1V 7QTTel: 0207 203 8459. [email protected]: www.dataytyx.com

Built On A Modern Data Architecture

drop job building studio canvass. Capture all trade activity and create reports alerts and signals for opportunity, detect abuse and provide actionable insights to analysts, sales and compliance.

Page 3: Exploiting a Modern Data Architecture · A Data Hub on Modern Data Architecture Technologies Trade Reporting On a Modern Data Architecture NoSQL Data Store, Big Data Data Lake Approach

Asset Classes and Venues

Client orders

Prop Order

s

Order Book

Real Time Data

Historical Data

Market Data

Securities Data

ClientData

Reference Data

Real TimeData

HistoricalData

Trader Data

Trade Repository

Counterparty

Trade

Trade Reference Data

In Memory Analytics for

BI

Intelligence Alerts and

Trade Surveillance

Reporting Data Transformation

Compliance Dashboard

BI Reports

Regulatory Store

Submissions Gateway

Cancel Correct Amend

MiFID

Dodd Frank

FCA

BaFin

SEC

Data Lake

Trader Data

NoSQL