The idea behind a design patterns is to learn about it's strengths and weaknesses. And more importantly, understand where and how to use a particular design correctly, so as to use its strengths properly and overcome its weaknesses.
Suresh Menon, Vice President, Product Management - Information Quality Solutions at Informatica, shares how to master your data and your business from the 2015 Informatica Government Summit.
BI for BFSI at Microsoft ISU FY10 India - By Sanjay Mehta, CEO, MAIA Intellig...Dhiren Gala
BI for BFSI at Microsoft ISU FY10 India - By Sanjay Mehta, CEO, MAIA Intelligence.
Industry Solutions University (ISU) FY10 India! is Microsoft's unique internal training event that facilitates discussion of industry market opportunities with our key alliance partners, allowing for the forging of deeper relationships to help drive our joint business. MAIA Intelligence, a Microsoft Gold Partner has been invited for a presentation on 'Business Intelligence across Financial Services' and showcase 1KEY BI solutions at Partner Expo.
Avail Power BI Consulting Services to Integrate SeamlesslyElena Mia
To know more about Power BI and other Microsoft’s power platforms, connect with our Power BI Consulting Services experts.
Source Url:- https://medium.com/@elenamia/avail-power-bi-consulting-services-to-integrate-seamlessly-e48d34fa4d44
Suresh Menon, Vice President, Product Management - Information Quality Solutions at Informatica, shares how to master your data and your business from the 2015 Informatica Government Summit.
BI for BFSI at Microsoft ISU FY10 India - By Sanjay Mehta, CEO, MAIA Intellig...Dhiren Gala
BI for BFSI at Microsoft ISU FY10 India - By Sanjay Mehta, CEO, MAIA Intelligence.
Industry Solutions University (ISU) FY10 India! is Microsoft's unique internal training event that facilitates discussion of industry market opportunities with our key alliance partners, allowing for the forging of deeper relationships to help drive our joint business. MAIA Intelligence, a Microsoft Gold Partner has been invited for a presentation on 'Business Intelligence across Financial Services' and showcase 1KEY BI solutions at Partner Expo.
Avail Power BI Consulting Services to Integrate SeamlesslyElena Mia
To know more about Power BI and other Microsoft’s power platforms, connect with our Power BI Consulting Services experts.
Source Url:- https://medium.com/@elenamia/avail-power-bi-consulting-services-to-integrate-seamlessly-e48d34fa4d44
Krome Technology - Business Intelligence Practice BrochureKrome Technology
In a dynamic business environment where processes are redundant and easy to
replicate, effective usage of Business Intelligence (BI) is imperative to gain a
competitive position. Growing and diversified businesses accumulate heaps of day to day
transactional data, which is a latent source to gain insights and optimum
operational efficiencies to clinch the final business goals. Business Intelligence application is a one stop solution carefully structured to address these potential points that empowers
business by providing cutting edge & user friendly technology with the following benefits:
• Enhanced data visibility & transparency
• Forecasting & Decision making capabilities
• Analytical support & Control for analyzing functional data
• Leverage Business Intelligence for operational and strategic edge
How to successfully implement Business Intelligence into your organisation.
A completely agnostic and independent view from a market leader in delivering technology transformation.
Details on how to build a strategy to successfully execute on and more importantly how to get the business to adopt Business Intelligence into their day to day role.
Essential tool kit for any organisation looking to invest in Business Intelligence.
Case Study: Building a Production Recommendation Engine on AccumuloAccumulo Summit
We all know that AI and Machine Learning (ML) are the new hotness in the big data space. There is plenty of focus on fancy ML algorithms, but what is really required to put something like a Recommendation Engine into production? The truth is, it requires a hefty amount of data engineering and data science. During this talk, attendees will step through a real-life case study on putting a Recommendation Engine into production and learn why Accumulo was an ideal choice for use in this particular situation.
– Speaker –
Gadalia O'Bryan
Director of Delivery, Koverse
Gadalia has spent her career delivering robust, repeatable software solutions with real business and mission value. She enjoys partnering with customers to rapidly move forward and see a return on investment from their big data implementations.
Gadalia worked for the National Security Agency (NSA) for nearly a decade before leaving the public sector to join Koverse. At the NSA, Gadalia built production big data solutions that are referenced by programs throughout the U.S. Department of Defense and Intelligence Community. She also led large-scale security evaluations of cryptographic algorithms and information security systems, including both commercial and government applications.
Gadalia holds a Bachelor of Arts (BA) degree in Mathematics from the University of Colorado at Boulder, where she published work in the journal Numerical Algorithms. She holds a Master of Arts (MA) degree in Mathematics from UCLA, specializing in Algebraic Topology.
— More Information —
For more information see http://www.accumulosummit.com/
Why Microstrategy and why learn microstrategy training ,Business Analytics with Microstrategy,Microstrategy Business Intelligence, Why we are using Microstrategy,microstrategy business intelligence software
Pivotal CRM Research Services dramatically increases user efficiency and productivity with enhanced web-services support for direct access to Pivotal CRM-based customer information from applications in the Microsoft Office suite.
Embedded BI Best Practices: Webinar slidesYellowfin
If you haven’t already embedded Business Intelligence (BI) functionality into your application, chances are, your competitors have an advantage.
BI technology is becoming a common component of business applications used across all major job functions, departments and industries.
Gartner predicts that within two years, 25 percent of analytics capabilities will be embedded in business applications, up from only five percent in 2010. If you haven’t already added embedded BI to your software, the time is now.
Watch this Embedded BI Best Practices Webinar recording (https://www.youtube.com/watch?v=8BxPdco9ab8&feature=youtu.be), and view this slide deck, to discover how to successfully add an analytics module to your product suite, and dramatically enhance its salability and market value – minus the development stress you might expect.
Delight your customers and build your brand – all while avoiding the strain of independently developing, maintaining and supporting an in-house BI module.
Running head Database and Data Warehousing design1Database and.docxhealdkathaleen
Running head: Database and Data Warehousing design 1
Database and Data Warehousing Design 3
Database and Data Warehousing Design
Thien Thai
CIS599
Professor Wade M. Poole
Strayer University
Feb 20, 2020
Database and Data Warehousing Design
Introduction
Technology has highly revolutionized the world of business –hence presenting more challenges and opportunities for businesses. Companies which fail to embrace and incorporate technology in their operations risks being edged out of the market due to stiff competition witnessed in the market today. On the flipside, cloud-based technology allows businesses to “easily retrieve and store valuable data about their customers, products, and employees.” Data is an important component that help to support core business decisions. In today’s highly competitive and constantly evolving business world, embracing cloud-based technology business managers an opportunity to make informed and result-oriented decisions regarding day-to-day organizational operations (Dimitriu & Matei, 2015).
Notably, business growth and competitiveness depends on its ability to transform data into information. Data warehousing and adoption of relational databases are some of cloud-based technologies which have positively impacted on businesses. The two technologies have had a strategic value to companies –helping them to have the extra edge over their competitors. Both data warehousing and relational databases help businesses to “take smart decisions in a smarter manner.” However, failure to adopt these cloud-based technologies has hindered business executives’ ability to make experienced-based and fact-based decisions which are vital to business survival. Both “databases and data warehouses are relational data systems” which serve different and equally crucial roles within an organization. For instance, data warehousing helps to support management decisions while relational databases help to perform ongoing business transactions in real-time. Basically, embracing cloud-based technologies within the organization will help to give the company a competitive advantage in the market. However, the adoption and maintenance of such technologies require full support and endorsement of the business management. Organizational management must understand the feasibility, functionality, and the importance of embracing such technologies. Movement towards relational databases and data warehousing requires a lot of funding –hence the need to convince the management to support and fund them. This paper seeks to explore the concepts of data warehousing, relational databases, their importance to the business, as whey as their design.
“Importance of Data Warehousing and Relational Databases”
Today, technology has changed the market landscape. Business are striving to adopt cloud-based technology in order to improve efficiency in business functions –among them analytical queries as well as transactional operations. Both relational databases a ...
Running head Database and Data Warehousing design1Database and.docxtodd271
Running head: Database and Data Warehousing design 1
Database and Data Warehousing Design 3
Database and Data Warehousing Design
Thien Thai
CIS599
Professor Wade M. Poole
Strayer University
Feb 20, 2020
Database and Data Warehousing Design
Introduction
Technology has highly revolutionized the world of business –hence presenting more challenges and opportunities for businesses. Companies which fail to embrace and incorporate technology in their operations risks being edged out of the market due to stiff competition witnessed in the market today. On the flipside, cloud-based technology allows businesses to “easily retrieve and store valuable data about their customers, products, and employees.” Data is an important component that help to support core business decisions. In today’s highly competitive and constantly evolving business world, embracing cloud-based technology business managers an opportunity to make informed and result-oriented decisions regarding day-to-day organizational operations (Dimitriu & Matei, 2015).
Notably, business growth and competitiveness depends on its ability to transform data into information. Data warehousing and adoption of relational databases are some of cloud-based technologies which have positively impacted on businesses. The two technologies have had a strategic value to companies –helping them to have the extra edge over their competitors. Both data warehousing and relational databases help businesses to “take smart decisions in a smarter manner.” However, failure to adopt these cloud-based technologies has hindered business executives’ ability to make experienced-based and fact-based decisions which are vital to business survival. Both “databases and data warehouses are relational data systems” which serve different and equally crucial roles within an organization. For instance, data warehousing helps to support management decisions while relational databases help to perform ongoing business transactions in real-time. Basically, embracing cloud-based technologies within the organization will help to give the company a competitive advantage in the market. However, the adoption and maintenance of such technologies require full support and endorsement of the business management. Organizational management must understand the feasibility, functionality, and the importance of embracing such technologies. Movement towards relational databases and data warehousing requires a lot of funding –hence the need to convince the management to support and fund them. This paper seeks to explore the concepts of data warehousing, relational databases, their importance to the business, as whey as their design.
“Importance of Data Warehousing and Relational Databases”
Today, technology has changed the market landscape. Business are striving to adopt cloud-based technology in order to improve efficiency in business functions –among them analytical queries as well as transactional operations. Both relational databases a.
SQL Azure Database is a cloud database service from Microsoft. SQL Azure provides web-facing database functionality as a utility service. Cloud-based database solutions such as SQL Azure can provide many benefits, including rapid provisioning, cost-effective scalability, high availability, and reduced management overhead. This paper provides an overview on some scale out strategies, challenges with scaling out on-premise and how you can benefit with scaling out with SQL Azure.
All business sizes can benefit from better use of their data to gain insights, how the cloud can help overcome common data challenges and accelerate transformation with the cloud technology
https://www.rapyder.com/cloud-data-analytics-services/
This document describes the importance of properly managing master data in an organization and business challenges that come up as a consequence of fragmented,
poor quality and non-standardized master data. The paper also attempts to take an Information Management Strategic approach to providing business with the right view on Master Data
Krome Technology - Business Intelligence Practice BrochureKrome Technology
In a dynamic business environment where processes are redundant and easy to
replicate, effective usage of Business Intelligence (BI) is imperative to gain a
competitive position. Growing and diversified businesses accumulate heaps of day to day
transactional data, which is a latent source to gain insights and optimum
operational efficiencies to clinch the final business goals. Business Intelligence application is a one stop solution carefully structured to address these potential points that empowers
business by providing cutting edge & user friendly technology with the following benefits:
• Enhanced data visibility & transparency
• Forecasting & Decision making capabilities
• Analytical support & Control for analyzing functional data
• Leverage Business Intelligence for operational and strategic edge
How to successfully implement Business Intelligence into your organisation.
A completely agnostic and independent view from a market leader in delivering technology transformation.
Details on how to build a strategy to successfully execute on and more importantly how to get the business to adopt Business Intelligence into their day to day role.
Essential tool kit for any organisation looking to invest in Business Intelligence.
Case Study: Building a Production Recommendation Engine on AccumuloAccumulo Summit
We all know that AI and Machine Learning (ML) are the new hotness in the big data space. There is plenty of focus on fancy ML algorithms, but what is really required to put something like a Recommendation Engine into production? The truth is, it requires a hefty amount of data engineering and data science. During this talk, attendees will step through a real-life case study on putting a Recommendation Engine into production and learn why Accumulo was an ideal choice for use in this particular situation.
– Speaker –
Gadalia O'Bryan
Director of Delivery, Koverse
Gadalia has spent her career delivering robust, repeatable software solutions with real business and mission value. She enjoys partnering with customers to rapidly move forward and see a return on investment from their big data implementations.
Gadalia worked for the National Security Agency (NSA) for nearly a decade before leaving the public sector to join Koverse. At the NSA, Gadalia built production big data solutions that are referenced by programs throughout the U.S. Department of Defense and Intelligence Community. She also led large-scale security evaluations of cryptographic algorithms and information security systems, including both commercial and government applications.
Gadalia holds a Bachelor of Arts (BA) degree in Mathematics from the University of Colorado at Boulder, where she published work in the journal Numerical Algorithms. She holds a Master of Arts (MA) degree in Mathematics from UCLA, specializing in Algebraic Topology.
— More Information —
For more information see http://www.accumulosummit.com/
Why Microstrategy and why learn microstrategy training ,Business Analytics with Microstrategy,Microstrategy Business Intelligence, Why we are using Microstrategy,microstrategy business intelligence software
Pivotal CRM Research Services dramatically increases user efficiency and productivity with enhanced web-services support for direct access to Pivotal CRM-based customer information from applications in the Microsoft Office suite.
Embedded BI Best Practices: Webinar slidesYellowfin
If you haven’t already embedded Business Intelligence (BI) functionality into your application, chances are, your competitors have an advantage.
BI technology is becoming a common component of business applications used across all major job functions, departments and industries.
Gartner predicts that within two years, 25 percent of analytics capabilities will be embedded in business applications, up from only five percent in 2010. If you haven’t already added embedded BI to your software, the time is now.
Watch this Embedded BI Best Practices Webinar recording (https://www.youtube.com/watch?v=8BxPdco9ab8&feature=youtu.be), and view this slide deck, to discover how to successfully add an analytics module to your product suite, and dramatically enhance its salability and market value – minus the development stress you might expect.
Delight your customers and build your brand – all while avoiding the strain of independently developing, maintaining and supporting an in-house BI module.
Running head Database and Data Warehousing design1Database and.docxhealdkathaleen
Running head: Database and Data Warehousing design 1
Database and Data Warehousing Design 3
Database and Data Warehousing Design
Thien Thai
CIS599
Professor Wade M. Poole
Strayer University
Feb 20, 2020
Database and Data Warehousing Design
Introduction
Technology has highly revolutionized the world of business –hence presenting more challenges and opportunities for businesses. Companies which fail to embrace and incorporate technology in their operations risks being edged out of the market due to stiff competition witnessed in the market today. On the flipside, cloud-based technology allows businesses to “easily retrieve and store valuable data about their customers, products, and employees.” Data is an important component that help to support core business decisions. In today’s highly competitive and constantly evolving business world, embracing cloud-based technology business managers an opportunity to make informed and result-oriented decisions regarding day-to-day organizational operations (Dimitriu & Matei, 2015).
Notably, business growth and competitiveness depends on its ability to transform data into information. Data warehousing and adoption of relational databases are some of cloud-based technologies which have positively impacted on businesses. The two technologies have had a strategic value to companies –helping them to have the extra edge over their competitors. Both data warehousing and relational databases help businesses to “take smart decisions in a smarter manner.” However, failure to adopt these cloud-based technologies has hindered business executives’ ability to make experienced-based and fact-based decisions which are vital to business survival. Both “databases and data warehouses are relational data systems” which serve different and equally crucial roles within an organization. For instance, data warehousing helps to support management decisions while relational databases help to perform ongoing business transactions in real-time. Basically, embracing cloud-based technologies within the organization will help to give the company a competitive advantage in the market. However, the adoption and maintenance of such technologies require full support and endorsement of the business management. Organizational management must understand the feasibility, functionality, and the importance of embracing such technologies. Movement towards relational databases and data warehousing requires a lot of funding –hence the need to convince the management to support and fund them. This paper seeks to explore the concepts of data warehousing, relational databases, their importance to the business, as whey as their design.
“Importance of Data Warehousing and Relational Databases”
Today, technology has changed the market landscape. Business are striving to adopt cloud-based technology in order to improve efficiency in business functions –among them analytical queries as well as transactional operations. Both relational databases a ...
Running head Database and Data Warehousing design1Database and.docxtodd271
Running head: Database and Data Warehousing design 1
Database and Data Warehousing Design 3
Database and Data Warehousing Design
Thien Thai
CIS599
Professor Wade M. Poole
Strayer University
Feb 20, 2020
Database and Data Warehousing Design
Introduction
Technology has highly revolutionized the world of business –hence presenting more challenges and opportunities for businesses. Companies which fail to embrace and incorporate technology in their operations risks being edged out of the market due to stiff competition witnessed in the market today. On the flipside, cloud-based technology allows businesses to “easily retrieve and store valuable data about their customers, products, and employees.” Data is an important component that help to support core business decisions. In today’s highly competitive and constantly evolving business world, embracing cloud-based technology business managers an opportunity to make informed and result-oriented decisions regarding day-to-day organizational operations (Dimitriu & Matei, 2015).
Notably, business growth and competitiveness depends on its ability to transform data into information. Data warehousing and adoption of relational databases are some of cloud-based technologies which have positively impacted on businesses. The two technologies have had a strategic value to companies –helping them to have the extra edge over their competitors. Both data warehousing and relational databases help businesses to “take smart decisions in a smarter manner.” However, failure to adopt these cloud-based technologies has hindered business executives’ ability to make experienced-based and fact-based decisions which are vital to business survival. Both “databases and data warehouses are relational data systems” which serve different and equally crucial roles within an organization. For instance, data warehousing helps to support management decisions while relational databases help to perform ongoing business transactions in real-time. Basically, embracing cloud-based technologies within the organization will help to give the company a competitive advantage in the market. However, the adoption and maintenance of such technologies require full support and endorsement of the business management. Organizational management must understand the feasibility, functionality, and the importance of embracing such technologies. Movement towards relational databases and data warehousing requires a lot of funding –hence the need to convince the management to support and fund them. This paper seeks to explore the concepts of data warehousing, relational databases, their importance to the business, as whey as their design.
“Importance of Data Warehousing and Relational Databases”
Today, technology has changed the market landscape. Business are striving to adopt cloud-based technology in order to improve efficiency in business functions –among them analytical queries as well as transactional operations. Both relational databases a.
SQL Azure Database is a cloud database service from Microsoft. SQL Azure provides web-facing database functionality as a utility service. Cloud-based database solutions such as SQL Azure can provide many benefits, including rapid provisioning, cost-effective scalability, high availability, and reduced management overhead. This paper provides an overview on some scale out strategies, challenges with scaling out on-premise and how you can benefit with scaling out with SQL Azure.
All business sizes can benefit from better use of their data to gain insights, how the cloud can help overcome common data challenges and accelerate transformation with the cloud technology
https://www.rapyder.com/cloud-data-analytics-services/
This document describes the importance of properly managing master data in an organization and business challenges that come up as a consequence of fragmented,
poor quality and non-standardized master data. The paper also attempts to take an Information Management Strategic approach to providing business with the right view on Master Data
5 Key Data Management Trends of 2022 as observed by a data practitioner. Covers trends on data architecture, data storage, data platforms, and data operations.
Hybrid Cloud - Key Benefits & Must Have RequirementsJohn Katrick
Hybrid Cloud - Key Benefits & Must Have Requirements : Gartner says by 2020, a corporate "No-Cloud" Policy will be as rare as a "No-Internet" policy is today as per this article and specifically the Infrastructure as a Service (IaaS) market is projected to continue to grow more than 25 percent per year through 2019. This surge in cloud adoption also represents a huge shift in cloud spending by IT organizations, directly or indirectly affecting more than $1 trillion dollars in Cloud IT purchases by 2020, according to Gartner.
Consumption-based public cloud (CBPC) modelWerner Feld
Consumption-based public cloud (CBPC) model: Worauf kommt es an? Ist CBPC der "Cloud"-Weg, um Datensourveränität, operative Steuerungsfähigkeit und kommerzielle Flexibilität zu erreichen?
Enterprise data centres have traditionally used servers and storage that typically scale only to a few nodes. Even small capacity or performance scales required large installation increments or worse, required replicating the existing IT infrastructure, which is prohibitive in terms of cost and space. An important impediment was that as storage capacity increased, system performance and efficiency suffered. In addition, IT budgets came under pressure and created high entry barriers to scale for enterprise class data centres. However, virtualization and cloud platforms are changing that. IT departments can now linearly scale to several server and storage nodes rapidly, for capacity and performance without compromising on efficiency and to keep costs under control. This helps save space via hardware consolidation, improves productivity, and derives a competitive advantage through increased availability, lean administration, and fast deployment times.
AGILE CLOUD: MANAGING THE EMPOWERED USERdinCloud Inc.
As important as the back end technologies of virtual data center operations, application virtualization
and orchestration may be, a substantial portion of cloud’s ‘magic’ is its ability to provide new forms of
support to line-of-business staff, providing advanced automation options for functions that were
previously poorly automated or entirely manual.
Cloud Strategies for Financial Firms : Migrating one step at a timeSuvradeep Rudra
A very few financial firms are currently using cloud computing for their core applications, different hosting architectures provided by IaaS cloud providers and new avenues in the community and hybrid cloud space, will drive more firms to move their core applications to the cloud. In fact, core solutions, such as batch processes running throughout the day, analytics and reporting applications, are perfect candidates.
In today's competitive market, many organizations are unaware of the quantity of poor-quality data in their systems. Some organizations assume that their data is of adequate quality, although they have conducted no metrical or statistical analysis to support the assumption. Others know that their performance is hampered by poor-quality data, but they cannot measure the problem.
A column-oriented DBMS is a database management system (DBMS) that stores its content by column rather than by row. This has advantages for data warehouses and library catalogues where aggregates are computed over large numbers of similar data items.
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...2023240532
Quantitative data Analysis
Overview
Reliability Analysis (Cronbach Alpha)
Common Method Bias (Harman Single Factor Test)
Frequency Analysis (Demographic)
Descriptive Analysis
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Design patterns 101
1. 1. # 101
The ideabehinda designpatternsis to learnabout its strengths and weaknesses.And
more importantly,understand where and how to use a particular designcorrectly,so
as to use its strengths properlyand overcome its weaknesses.
2. Problem/Intent:
Which partitionlogic shouldbe usedin ORACLE 11g sothat we canpartition multiple tables together, sothat that
related data (FKs) are also storedinthe same partition area?
3. Context/Relevance:
Buildinga high available applicationalways needs special database architecture to support fast accessand storingof
data. This highavailabilityrefers to faster user experience withinthe organization when the same data is accessedby
different Linesof Business (LOBs) andis distributed across various branches/offices.
This is actuallyachieve byhaving a proper data modelthat is aligned to the business use case andunderlying full
proof partitionlogic whichplaya dramatic role as the data increases.
Customer Due Diligence(CDD) solutionis built for assessment of customer riskas part of Knowyour customer (KYC)
and Know your Account(KYA) applicant on-boarding andongoing customer due diligence processes, allowing firms to
better identify, manage, andmitigate customer-relatedrisks.
Customer Due Diligence solutionmeets the needs of customer onboarding andongoing due diligence, enablingan
automated, systematic process for the entire customer lifecycle.
1. Reduce RegulatoryRisk
2. Increase Operational efficiencies
3. Ensure consistencies ofprocess
The most important business requirement of any CDD project is there should one KYC profile per customer and
there should only one KYA profile per account.
4. Solution/Resolution:
In the above businessscenario, there is a needwhere parent-childrelationships exists like a Partyhas KYCrelatedto it
and anaccount has KYA related to it. Keeping the parent andrelatedchilddata inone partitionwillprovide
tremendous benefit to a wide varietyof applications byimprovingperformance, manageability, andavailability. It will
make huge difference whendifferent LOBs withthe business access the same KYCor KYA pertainingto the same
Partyor Account. One keybenefit to reference partitioning is to not have the extra space being used, and not having
to deal withthe potential data integrityissues.
Reference partitioning improves and simplifiesthe partitioning of tables that have a parent-child relationship.
The abilityto partitionbyreference removes the necessityfor managingthe partitions onthe childtable.
Reference partitioning also eliminates the needto include unnecessaryduplicate columns fromthe parent table
to enable equi-partitioning of the child table.