• No results found

$257,493, \ \ \00001

N/A
N/A
Protected

Academic year: 2021

Share "$257,493, \ \ \00001"

Copied!
11
0
0

Loading.... (view fulltext now)

Full text

(1)

Big

Data

$257,493,225

12%

$

$348,271,7978

$92,234,98

00101001001001001001

0010101011000

11000101001\00001

001010100101010

00101001001001001001

0010101011000

11000101001\00010011101001

001010100101010

37.21 22.41

00101001001001001001

0010101011000

11000101001\00001

001010100101010

00101001001001001001

0010101011000

11000101001\00001

001010100101010

WE GET IT CDW FINANCIAL SERVICES

WE’VE GOT YOUR

STRATEGY FOR

(2)

The 3Vs of Big Data

storage volumes have expanded because data volumes have grown, whether it’s the space required to run a modern operating system or data sets used for deeper analysis.

volume

pertains not only to how quickly data is generated, but also to how quickly someone interprets and acts upon it. Social media is adding to the speed of data.

velocity

2

1

unstructured and structured data present a multitude of formats that can be challenging to identify and ingest.

variety

3

(3)

TRADE UP

TO BIG DATA TECHNOLOGIES

AND BOOST YOUR BOTTOM LINE

For today’s capital market firms, customer and transactional data generated in standard structured formats like Excel spreadsheets and CRMs is being rapidly outpaced by massive volumes of structured and unstructured data from email, audio, video, Twitter, RSS feeds and Bloomberg Chat. Mining this prized information for business intelligence (BI) at the rapid-fire speed required for predictive modeling and real-time trend and customer insights analysis is challenging traditional ways of storing, processing and managing this data. Add the increasingly complex data analytics, industry

governance and risk reporting requirements, and financial organizations are put to the test.

It’s time to take action. What’s your big data strategy? C-LEVEL FINANCIAL SERVICES

EXECUTIVES SAID THEIR COMPANIES ARE UNABLE TO REALIZE (ON AVERAGE)

OF ADDITIONAL REVENUE PER YEAR FROM NOT BEING ABLE TO FULLY LEVERAGE THE INFORMATION THEY COLLECT. Source: “Big Data, Big Challenges, Big Opportunities,” 2012 IOUG Big Data Strategies Survey, produced by Unisphere Research and sponsored by Oracle

(4)

INVEST NOW

AND EXPERIENCE BIG BUSINESS BENEFITS

A robust IT strategy with the latest technological

enhancements can power up your big data solution, and put a capital market firm like yours at the forefront of the industry, by helping you:

ENHANCE RISK MANAGEMENT CAPABILITIES More quickly aggregate data enterprise-wide,

from trading action to customer activity. Enable greater transparency, improved

audit performance and more extensive risk exposure analysis.

TIGHTEN REGULATORY COMPLIANCE Meet the demand for greater governance and

risk reporting with more detailed and transparent data analysis.

EASILY CONDUCT PREDICTIVE ANALYTICS Quickly and effortlessly run correlations,

back-testing strategies, probability calculations and Monte Carlo simulations to improve your strategic development and risk management capabilities.

GAIN DEEPER CUSTOMER INSIGHT AND COMPETITIVE ANALYSIS Initiate comprehensive sentiment

analysis programs.

Monitor trends on social media and quickly mine enterprise and customer data for cutting-edge trends, competitive analysis and superior customer service delivery. MASTER FRAUD DETECTION

Correlate data from multiple unrelated sources to build extensive customer profiles.

Identify patterns of fraudulent activity and trading abuse in their early stages, reducing potential loss and reputation damage.

(5)

of respondents from financial

services organizations have or are

considering a big data strategy.

The SEC recently issued a report making it clear that companies can use social media outlets like Facebook and Twitter to announce key information in compliance with Regulation Fair Disclosure, so long as investors have been alerted about which social media will be used to disseminate such information.

Source: SEC Release No. 69279

51.4

%

THE TOP 3 DRIVERS FOR USING BIG DATA INCLUDE

Source: “International Quality” and “Productivity Center = Financial Services Big Data” heat map infographics

RISK AND OPERATIONAL MANAGEMENT

CUSTOMER

ANALYTICS REAL- OR NEAR-TIME DATA

(6)

CDW FINANCIAL

SERVICES GETS IT

Your dedicated CDW Financial Services account team knows a

high-performing big data solution is built on the right technology mix. Our industry-leading technology partnerships with IBM, EMC and many others allow us to bring you the brands you recognize and trust. CDW helps you navigate the rising complexity of data’s volume, velocity and variety to achieve business intelligence for better decision making, with custom-designed BI solutions based on the unique requirements of your organization — providing faster time to insight, greater productivity and lowered TCO.

So much data, both in structured and unstructured formats, is pouring in from internal and external sources. Today’s capital market firms are struggling with how best to process it all to find meaning and take action in a way that will positively impact their businesses.

Many organizations rely on Hadoop, an open-source software, to enable the distributed processing of large data sets across clusters of community servers. Hadoop essentially translates all varieties of unstructured data into a logical, intelligible format that can be more readily digested before it enters an enterprise data

warehouse and is held for future analysis.

The use of BI software facilitates the gathering, analyzing and reporting of that information through dashboards, ad hoc queries and other formats so it can be assessed and acted upon to make better business decisions.

Hardware components such as servers and storage provide the engines for disseminating

and delivering information to devices such as

notebooks, desktops, wireless phones and tablets. Accessing big data in the right format

using the right tools at the right time enables business executives, departments and individual workers to act quickly, seize new opportunities and gain a competitive edge.

No matter where you are in your BI maturity and adoption lifecycle, CDW Financial Services can build a holistic solution for your capital market firm — from software, servers, storage and networking to reporting analytics, ETL tools and data warehouses.

(7)

Enterprise Data Warehouse

(EDW) Hadoop Cluster

Executives — Individual Contributors

Users Departments

Sales, Marketing, HR, Operations, Manufacturing

ERP CRM

Custom Applications

Notebook Desktop WirelessPhone Tablet

Structured Data

Structured Data Unstructured Data Unstructured Data

INTERNAL SOURCES OF DATA EXTERNAL SOURCES OF DATA

Scorecards Ad Hoc Queries Static Reports Dashboards Survey Monkey Dynamics CRM Online Salesforce.com Email ERP Web Logs Twitter Facebook Call Logs

(8)

WE GET CAPITAL

MARKETS

CDW supports more than 7500 U.S. capital market (securities and investments) firms with the industry’s broadest and deepest technology solutions and services. Your dedicated CDW Financial Services account team can help assess and create a powerful IT infrastructure that supports strategies focused on low latency, global market integration and visibility, customer service, competition and risk management.

SERVICES PARTNERSHIPS EXPERTS IT INFRASTRUCTURE TRUST PERFORMANCE CAPITAL MARKETS RISK MANAGEMENT

LOW LATENCY INTEGRATION & VISIBILITY

COMPETITION

CDW FINANCIAL SERVICES

SECURITIES

IBM® PUREDATA SYSTEMS FOR ANALYTICS

POWERED BY NETEZZA TECHNOLOGY

A simple data appliance for serious analytics, this simplifies and optimizes performance of data services for analytic applications, enabling very complex algorithms to run in minutes vs. hours.

IBM® INFOSPHERE BIGINSIGHTS

Brings the power of Hadoop to the financial enterprise to reliably manage large volumes of structured and unstructured data, and provide a visualization component that is especially useful for risk management.

IBM® INFOSPHERE STREAMS

An advanced computing platform that allows user- developed applications to quickly ingest, analyze and correlate information as it arrives from thousands of real-time sources. Integrates well with IBM® Cognos®

and is ideal for monitoring high-volume stock transactions and making decisions on the trading floor as they happen.

(9)

Q: What are some of the key trends you’re seeing around big data in the financial services industry?

A: Capital market firms are just beginning to realize the value of big data technology. Harnessing big data can help them optimize capital and funding efficiency, hone trading and pricing activity, and tighten regulatory compliance.

Q: How does CDW support capital market firms with their big data strategies?

A: We help our customers understand how technology can help them manage their big data and support their business goals in three key ways:

1. Identifying the skill sets required for success 2. Finding the right business opportunities to which

technology can be applied

3. Creating a roadmap for successful implementation

and results

Q: What tips would you offer securities/investment/ trading firms regarding leveraging big data to benefit their businesses?

• For the most powerful results, the technology group

must align the big data strategy with the objectives of the business. This is not a solo technology exercise.

• Identify the skill sets you currently don’t have on the

team, and then acquire them.

• Start small by beginning with a pilot project. You don’t

need to boil the ocean.

Choose a business area in which you can reap a 1% improvement. If you can make something 1% more successful, that will pave the way for additional projects.

Q&A WITH KEVIN McCONNELL

Sales Solution Architect CDW IBM Software Team

THE CDW-IBM PARTNERSHIP

As an IBM Premier Business Partner, CDW teams with IBM to offer a full suite of business intelligence solutions. Our dedicated team of IBM-certified experts can help design the right solution to meet the data analytics needs of your capital market firm.

NYSE Euronext, a global trading and technology provider, knows all about big data. It analyzes two terabytes of data or more a day across trading markets. As the amount of data NYSE Euronext analyzes continues to grow, IBM PureData Systems for Analytics will be at the core of its business, helping manage data and identify insights more efficiently.

”Our data continues to grow and, with PureData Systems for Analytics, we are going to see a

20 times boost in performance.”

Emile Werr, Head of Enterprise Architecture, NYSE Euronext To learn more about how big data technology helped NYSE Euronext, scan this QR code.

(10)

Assessment/planning/design. Up-front consulting and collaboration to plan your big data strategy.

Configuration. Pre-assembly of hardware and software components to ensure your solution is ready to deploy upon arrival.

Installation/deployment. Engineering and implementation support to help get your big data technology up and running.

Product lifecycle support. Staffing and training, break/fix maintenance agreements and extended warranties to protect your IT investment.

Not only will CDW Financial Services help you capitalize on the benefits of big data, we can help support your capital market firm with our comprehensive array of services.

CDW Financial Services is a proud sponsor of the Securities Industry and Financial Markets Association (SIFMA).

CONTACT CDW FINANCIAL SERVICES TODAY

To learn more about the best ways to manage and leverage your big data, contact your CDW Financial Services account manager, call 888.706.4239 or visit CDW.com/financial-solutions today.

ALWAYS

(11)

IBM EXPRESS MODEL

IBM® SYSTEM X3650 M4 RACK-MOUNT SERVER

Quad-core Intel® Xeon® E5-2609

Processor (2.4GHz)

CDW 2643848

CALL FOR PRICING

• More performance versus prior generation

• Supports 768GB DDR3 memory, 10Gb networking, and greater

storage capacity and flexibility

• Simply and easily deployed and managed • Memory: 4GB std., 768GB max.

• Hard drive: none ship std.; up to 16 hot-swap SAS/SATA 2.5" drive

bays or 6 hot-swap SAS/SATA 3.5" drive bays; 18TB max storage

• 10MB Level 3 cache

• Integrated Quad Gigabit Ethernet

IBM® SPSS MODELER PRO

CALL FOR PRICING

• Create more effective strategies by evaluating trends and

likely outcomes

• Easily access, prepare and model structured data with this

intuitive, visual data mining workbench

• Rapidly build and validate models using the most advanced

statistical and machine-learning techniques available

• Efficiently deploy insight and predictive models • Seamlessly deploy results directly into IBM® Cognos®

Business Intelligence

• Present analytic results across regions visually with

geographical mapping

• Perform in-database analytics with leading databases

1IBM Express savings reflected in price shown. IBM Express savings based on a comparison of the IBM Express price versus the standard list price of an identically

configured product if purchased separately; savings may vary based on channel and/or direct standard pricing.

Celeron, Celeron Inside, Centrino, Centrino Inside, Core Inside, Intel, Intel Logo, Intel Atom, Intel Atom Inside, Intel Core, Intel Inside, Intel Inside Logo, Intel Viiv,Intel vPro, Itanium, Itanium Inside, Pentium, Pentium Inside, Viiv Inside, vPro Inside, Xeon, and Xeon Inside are trademarks of Intel Corporation in the U.S. and other countries. http://www.intel.com/go/rating

CDW®, CDWG® and The Right Technology. Right Away® are registered trademarks of CDW LLC. PEOPLE WHO GET IT is a trademark of CDW LLC.

All other trademarks and registered trademarks are the sole property of their respective owners.

EXCEPTIONAL PRICE AND PERFORMANCE

FOR MOST ENTERPRISE APPLICATIONS DISCOVER PATTERNS AND TRENDS STRUCTURED AND UNSTRUCTURED DATA IN YOUR

References

Related documents

DataStax Enterprise enables the intelligent customer interactions needed by today‟s Web and mobile applications by providing a data platform that seamlessly integrates

This spreadsheet tools need to parse spreadsheets using apex data parsing an xlsx file with conditional formatting can happen for telling me as well as fun and everyone if found..

quality system process where computers or automated data processing systems are used. • Automated processes must be validated for

Will be amazed by spreadsheets work excel spreadsheet, excellent in length by battling algorithm bias, tablet format is amazing, that are multiple spreasheets in.. Horiuchi even

This empirical research was conducted using a field case-study, divided into 4 sites, and a combination of qualitative and quantitative techniques. A research comprised

Advanced spreadsheet software programmer a group of spreadsheets for laptop and using excel this means that uses a worksheet, it boils down.. Sync the files on your computer with

Some of the problems and challenges are unique to the CSIR while others are universal and may be experienced by other research .organizations Recommendations of

For example where data table cell whether the comfort value SUMB1B2 is inserted into what Excel spreadsheet as bend it was text sign a formula If you Excel template has.. Raw Data