Xuehua Bu has over 5 years of experience in financial analysis, data science, business intelligence, and internal auditing. She has worked at Vantiv Inc. developing data analytical solutions using R, SQL, and Impala on over 20 billion transactions. Her skills include SAP Business Objects, SQL, R, Excel, and she is proficient in English and Chinese. She has a Bachelor's degree in Finance, Information Systems, and Analytics from Miami University.
Business Intelligence, for many companies, has often meant structured operational and historical reporting. End users often complain about lack of flexibility, timeliness and their inability to turn data into actionable information. While this is still important and often critical to day-to-day operations, recent changes to the portfolio of SAP’s BusinessObjects suite of analytical and exploration tools has set SAP apart from the competition in many areas. The power of advanced analytics, made available as self-service to end users, opens up many opportunities to not only report on data, but also integrate meaningful information into business processes. Combined with SAP HANA, a real-time, in-memory database that enables organizations to process "big data" in support of transactional processing, operational reporting, advanced analytics and predictive modeling, the information available to your organization is even more valuable.
SAP Applications and the Modern Data Scientist - Predictive Analytics for the...Dickinson + Associates
Abstract: SAP Predictive Analytics 2.3 bridges the gaps between IT, Business and Analytics. Learn how SAP Predictive Analytics 2.3 leverages current SAP infrastructure and provides the data preparation, visualization and data modeling tools necessary to gain insights from your data.
Join us as we will take a look at SAP Predictive Analytics (PA) 2.3 and demonstrate the value by analyzing data that will help drive real-world decisions:
• Understand where SAP PA 2.3 resides in SAP’s analytics roadmap
• Outline system and hardware requirements for implementation
• Learn how SAP PA 2.3 is not just for Data Scientists
• Demonstrate capabilities within SAP PA 2.3
• Answer questions and discuss how PA 2.3 can improve your business
Business intelligence systems are also unable to deal with market volatiles. Infosys' business analytics offerings provide the processes, tools and expertise to extract the most from information investments description.
Dickinson + Associates hosted an ASUG Affiliate Webinar entitled "Getting Started with BI Analytics on HANA." Rob Jerome and Tim Korba presented alongside John Zwack, Senior Channel Development Director at SAP.
This webinar introduced attendees to the power of SAP BI Analytics on SAP HANA. A few things you can take away from the webinar slides:
• Overview of the HANA Enterprise architecture
• Integration touch points with SAP systems
• Direct integration with the BI 4.0 suite of analytical solutions
• Introduction to development concepts of HANA Studio, focusing on schemas, analytical and calculation views
Business intelligence: A tool that could help your businessBeyond Intelligence
Discusse how business intelligence (BI) is a set of theories, methodologies, architectures and technologies that transform raw data into meaningful and useful information for business purposes. Because of its fexibility, it can bring order to the most chaotic environments.Click here to read more.
Turning your Excel Business Process Workflows into an Automated Business Inte...OAUGNJ
Many organizations have evolved key internal business processes built on top of Microsoft Excel. These cross-functional workflows involve several organizational units responsible for collecting business system transactions, modifying this raw data, consolidating, transforming, pivoting and preparing data into a published set of Reports & Graphs – all in MS Excel. Such workflows are a burden to organizations – not repeatable, costly, time-consuming, inflexible and hard to scale, and evolve to become more complex over time. Business critical processes such as financial analysis, operational analysis and revenue analysis are often supported this way. Attempting to replace such systems can be quite daunting and a barrier to replace. The goal of this session is to present an easy to understand methodology and use cases to demonstrate how to move from an operational workflow in Excel to truly automated Business Intelligence.
Business Intelligence In Financial IndustryKartik Mehta
As more and more operations of banks operations and use of banking transactions by the customer is being performed on web, the amount of data is growing exponentially. To get insights into the future Business Intelligence in Financial Industry could be the way forward.
James thies resume senior financial analyst-12James Thies
Resume of a Finance Professional with Advanced Toastmasters skills and awards (public speaking, presentations and communication skills), military veteran (leadership, logistics, planning, execution), with strong MS Office Skills (Excel, Word, PowerPoint, Access) and systems skills including SAP and Oracle.
Business Intelligence, for many companies, has often meant structured operational and historical reporting. End users often complain about lack of flexibility, timeliness and their inability to turn data into actionable information. While this is still important and often critical to day-to-day operations, recent changes to the portfolio of SAP’s BusinessObjects suite of analytical and exploration tools has set SAP apart from the competition in many areas. The power of advanced analytics, made available as self-service to end users, opens up many opportunities to not only report on data, but also integrate meaningful information into business processes. Combined with SAP HANA, a real-time, in-memory database that enables organizations to process "big data" in support of transactional processing, operational reporting, advanced analytics and predictive modeling, the information available to your organization is even more valuable.
SAP Applications and the Modern Data Scientist - Predictive Analytics for the...Dickinson + Associates
Abstract: SAP Predictive Analytics 2.3 bridges the gaps between IT, Business and Analytics. Learn how SAP Predictive Analytics 2.3 leverages current SAP infrastructure and provides the data preparation, visualization and data modeling tools necessary to gain insights from your data.
Join us as we will take a look at SAP Predictive Analytics (PA) 2.3 and demonstrate the value by analyzing data that will help drive real-world decisions:
• Understand where SAP PA 2.3 resides in SAP’s analytics roadmap
• Outline system and hardware requirements for implementation
• Learn how SAP PA 2.3 is not just for Data Scientists
• Demonstrate capabilities within SAP PA 2.3
• Answer questions and discuss how PA 2.3 can improve your business
Business intelligence systems are also unable to deal with market volatiles. Infosys' business analytics offerings provide the processes, tools and expertise to extract the most from information investments description.
Dickinson + Associates hosted an ASUG Affiliate Webinar entitled "Getting Started with BI Analytics on HANA." Rob Jerome and Tim Korba presented alongside John Zwack, Senior Channel Development Director at SAP.
This webinar introduced attendees to the power of SAP BI Analytics on SAP HANA. A few things you can take away from the webinar slides:
• Overview of the HANA Enterprise architecture
• Integration touch points with SAP systems
• Direct integration with the BI 4.0 suite of analytical solutions
• Introduction to development concepts of HANA Studio, focusing on schemas, analytical and calculation views
Business intelligence: A tool that could help your businessBeyond Intelligence
Discusse how business intelligence (BI) is a set of theories, methodologies, architectures and technologies that transform raw data into meaningful and useful information for business purposes. Because of its fexibility, it can bring order to the most chaotic environments.Click here to read more.
Turning your Excel Business Process Workflows into an Automated Business Inte...OAUGNJ
Many organizations have evolved key internal business processes built on top of Microsoft Excel. These cross-functional workflows involve several organizational units responsible for collecting business system transactions, modifying this raw data, consolidating, transforming, pivoting and preparing data into a published set of Reports & Graphs – all in MS Excel. Such workflows are a burden to organizations – not repeatable, costly, time-consuming, inflexible and hard to scale, and evolve to become more complex over time. Business critical processes such as financial analysis, operational analysis and revenue analysis are often supported this way. Attempting to replace such systems can be quite daunting and a barrier to replace. The goal of this session is to present an easy to understand methodology and use cases to demonstrate how to move from an operational workflow in Excel to truly automated Business Intelligence.
Business Intelligence In Financial IndustryKartik Mehta
As more and more operations of banks operations and use of banking transactions by the customer is being performed on web, the amount of data is growing exponentially. To get insights into the future Business Intelligence in Financial Industry could be the way forward.
James thies resume senior financial analyst-12James Thies
Resume of a Finance Professional with Advanced Toastmasters skills and awards (public speaking, presentations and communication skills), military veteran (leadership, logistics, planning, execution), with strong MS Office Skills (Excel, Word, PowerPoint, Access) and systems skills including SAP and Oracle.
Experienced in full data life cycle management and project life cycle including: planning, research, requirement gathering, analysis, design, data modeling, requirements documentation, implementation, mentoring, training, Data-mart and cube development Project Manager. Preventive and root cause analysis using six sigma standards.
Designs reports using Cognos Crystal reports, ServiceNow, Tableau, Pivot tables and Charts on excel. Performed GAP and Risk analysis of existing system and evaluated benefits of new system. Conversion Programs for information exchange in-between existing SQL database systems and Service Module (EDI).
1. Address:
616 South College Ave Apt 79
Oxford Ohio, 45056
XUEHUA (CARROT) BU
WORK EXPERIENCE
Financial Analyst – Future Leaders Development Program (FLDP) – Vantiv Inc, Cincinnati, OH Jun 2014 – Present
Data Science – Routing Team Jan 2016 – Present
Developing Pin Debit Key Control file reconciliation process by using programming language R and SQL in HDFS
Providing creative and intelligent data analytical solutions for various business partners, based on 20.1 Billion transactions
Utilizing R & Impala in HDFS to provide simulation and analysis for top national level merchants, based on individual requests
Simulating and forecasting revenue, expense and saving opportunities, based on different pricing scenarios and industrial changes
Optimizing individual transaction routing strategy for different merchant clients by analyzing and simulating multi-billion transactional data
Transforming manual process to a user-friendly automatic implementation by integrating reporting data sources and rebuilding report
FP&A Operation and Technology Jul 2015 – Jan 2016
Managed timely and accurate monthly IT offshore 400+ vendors and 200+ contractors close process by developing a data analytical method
o IT Offshore and contractor labor cost accrual and re-accrual entries data tracking management
o IT Offshore and contractor labor capitalization trend tracking and analysis
Provided multiple data analytical ad hoc reports for IT & Operation business partners to better understand forecast and saving initiatives
Validated over 28 Million annualized Financial Institution Conversion projects revenue by using multiple data analytical tools and methods
Developed timely and more accurate methodologies for Financial Institution conversion project revenue calculation
Internal Audit Jan 2015 – Jul 2015
Audited Mainframe Authorization Processes, focusing on disaster recovery plan and vendor service agreements
Audited Merchant Underwriting Processes and focused on merchant onboarding process
Developed an audit issue management system on SharePoint with customized issue entry form and workflows
Organized two successful internal testing workshops and provided user training sessions on the audit issue management system
Created and utilized SAP Business Object queries to retrieve and analyze transactional and master customer data for testing purposes
Business Intelligence & Performance Solutions (BIPS) Jun 2014 – Jan 2015
Reconciled between 39 General Ledger accounts & Price Volume accounts and decrease the delta from 6 Million to 0.08 Million
Built multiple ad hoc queries in SAP Business Object for varies merchant business partners requests to better analyze financial data
Managed timely and accurate monthly and quarterly BIPS close process with different data analytical approaches
Collected and analyzed the data from weekly Line of Business and Payment Industry Trends reports through SAP tool for senior management
Transformed the Trends report to better align with the business needs by modifying SAP Business object Queries
Developed data analytical methodologies for reconciliation process between two independent data warehouses after NPC acquisition
Business Strategic Planning Consultant – Takasago Electric Co., Nagoya, Japan Jun 2013-Aug 2013
Compiled a 20-page competitive analysis of the Miniature Valve & Pumps industry in which Takasago competes
Completed a 2-week long 1-on-1 lecture & hands-on trainings in 7 departments provided by each department manager
Progressed Takasago’s research of the U.S. stem cell market by quantitatively analyzing product technical data
Established and administered the company social media profile on LinkedIn, established a networking foundation which resulted in enhanced
partnership and growth opportunity and provided data analytical report on the effectiveness and impact
Delivered 1 interim and 1 final presentation with a detailed and strategic business plan to achieve growth based on complex data analysis
Operation & Technology/Financial Institution Internship-China Construction Bank New York May 2012-Aug 2012
Drafted pre-compliance analysis of loan refinancing companies based on financial data analysis
Analyzed the financial condition of potential client companies via Bloomberg & Excel
Summarized internal monthly reports for 10K books & improved the reporting process efficiency by 90%
Researched Asian banks in the U.S. for future partnership expansion based on quantitative and qualitative analysis
Engaged in due diligence activities to help clients obtain liquidity and to support their letter of credit-related businesses with loan refinancing up
to $9 million
QUALIFICATIONS AND SKILLS
SAP Business Object, SQL (Hive, Relational Database), R (HDFS), Advanced Microsoft Access, Excel, Word, and PowerPoint, Oracle,
Hyperion, Advanced SharePoint, TeamMate, Visual Basic 2010, Bloomberg (Certificated)
Professional working proficiency in English, Native in Chinese, Limited working proficiency in Japanese and acquiring skills in German
EDUCATION
Miami University, Farmer School of Business, Oxford, Ohio Jan 2010-Dec 2013
Bachelor of Science in Business, Finance and Information Systems & Analytics – Double Major
Japanese Culture and Language – Minor
Email: carrotbxh@gmail.com
LinkedIn: linkedin.com/in/carrotbu
Cell Phone: (513) 593-1504