1. Introducing XLeratorDB

2. XLeratorDB is a unique, In-Database Analytics package that provides…
Advanced Analytics – over 650 functions
Greater Performance – up to 100x faster than Excel
Risk Reduction – eliminate spreadsheet risk
Improved Security – calculations saved on DB
Faster Development – lower development costs
Unsurpassed Quality – over 1.6 billion test cases
Optimize SQL Server – enhance customer value
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3. The History of XLeratorDB
2008
Charles Flock and Joe Stampf found WestClinTech and introduce XLeratorDB with over 350 Finance, Statistics, Math and Engineering functions.
More than 250 new functions added to XLeratorDB.
2008
2009
2010
2011
2012
2008
First commercial sale of XLeratorDB.
Present
XLeratorDB releases new Financial-Options, CAPM and Windowing functions. Client list grows to over 400 and function list grows to more than 650.
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4. XLeratorDB Featured Clients
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5. Global Coverage of Financial Markets
XLeratorDB Global Reach
Global Coverage of Financial Markets
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6. XLeratorDB Packages

7. High-Level list of Functions
XLeratorDB Packages
High-Level list of Functions
Finance
Statistics
Math
Descriptive Statistics
Continuous data
Dispersion
Shape
Statistical Inference
Chi Square
T-Test
Correlation and Regression
Correlation
Probability
Linear
Slope
Trend
Data collection
Standard error
Probabilities
Beta cumulative probability density
Inverse of BetaDist
Binomial distribution
Fisher transformation
Rates of Return
Internal Rate of Return
IRR with non-periodic cash flows
Net Present Value
Modified Dietz
Capital Asset Pricing Model
Alpha and Beta
Sharpe, Sortino, Treynor and Information ratios
Bond Figurations
Accrued Interest
Bond Price and Yield
Odd First, Last coupons
Loans
Principal and Interest payments
Amortization schedules
Depreciation
Declining Balance
Straight Line
Other
Business Days,
Interest Basis
Yield Curves
Arithmetic/Algebraic
Euclidean
Factorials
Mround
Product
Trigonometry
Hyperbolic Cosine
Secant
Inverse Hyperbolic
Interpolations
Linear
Polynomial
Cubic Spline
Number/Series Generators
Random / Random Normal
Monte Carlo
Matrix
Matrix Inverse
Matrix Multiplication
Transpose 7 7
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8. High-Level list of Functions
XLeratorDB Packages
High-Level list of Functions
Financial-Options
Engineering
Strings & Windowing
Engineering
Bessel function
Error
Delta
Base Conversions
Binary number
Decimal
Hexadecimal
Octal
Complex Numbers
Coefficients
Absolute value
Quotient
Sine
Square root
Unit Conversions
Acres / Hectares
Length
Speed
Temperature
Volume
Weight
Option Models
-European
Black Scholes Merton
Binomial
Implied Volatility
-American
Bjerksund-Stensland
Option Greeks
Delta
Gamma
Vega
Theta
Rho
Lambda
Risk Matrix
Option Matrix
Option P/L Matrix
Binomial Tree visualization
Text Formatting
Concatenate
Decimal to fraction
Date Format
Parsing
Inspection
String count
Character position
Calendar
Working days
Logic
Windowing
Lag
Running Count, Sum, Avg, STDEV, VAR, etc.
Moving Count, Sum, Avg, STDEV, VAR, etc.
Running Slope, Intercept, Forecast, etc.
Moving Slope, Intercept, Forecast, etc.
Moving Averages 8 8
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9. Performance Information

10. XLeratorDB Performance Examples
Performance increase from Excel 2010 to XLeratorDB
Function
No. of Records
Excel 2010
XLeratorDB
Difference
SLOPE – Slope of the linear regression
1,502,537
4.2 min.
.048 min.
-98%
XIRR – Internal Rate of Return (irregular cash flows)
2,700,080
8.32 min.
1.33 min.
-84%
ACCRINTM – Accrued Interest at Maturity
1,000,000
3.5 min.
1.099 min.
-68.5%
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11. Deployment / Installation Solution

12. XLeratorDB Deployment Models
Desktop
Single Server
Server Cluster
XLeratorDB
in the Cloud
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13. XLeratorDB Installed
XLeratorDB installed on the database as a native component
The installed functions look and behave like a native SQL Server component.
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14. XLeratorDB Installed
Example of XLeratorDB XIRR function in SQL Server Management Studio
As the example below shows, XLeratorDB functions are easy to deploy and use.
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15. XLeratorDB used as a Development Solution
Example of XLeratorDB CAPM functions in the QlikView BI solution
XLeratorDB not only includes sophisticated functionality but is also “integration friendly”
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16. XLeratorDB used as a Development Solution
Example of XLeratorDB’s Option Matrix functions in the QlikView BI solution
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17. XLeratorDB used as a Development Solution
Example of XLeratorDB in Healthcare
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18. Documentation and Blog

19. XLeratorDB Documentation
XLeratorDB includes full documentation that is available on the web site
All functions include examples that can be implemented right out of the box
XLeratorDB blog includes over 75 informative articles that provide real-world examples that can be cut, pasted and executed right from the page
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20. XLeratorDB Documentation Example
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21. XLeratorDB Blog Article Examples
Calculating a time-weighted rate of return using modified Dietz in SQL Server
By cflock on 10/24/2012 1:24 PM
The modified Dietz calculation produces a result which measures the performance of an investment portfolio based on time-weighted cash flows. Today, we will look at two XLeratorDB aggregate functions, EMDIETZ and FVSCHEDULE, which calculate the modified Dietz value for each period and then link the results together to come up with a time-weighted rate of return value.
Read More »
Creating a Bond Amortization Schedule in SQL Server
By cflock on 4/5/2012 8:55 PM
A look at different techniques for generating schedules to account for the premium or discount associated with the issuance or purchase of a bond using the XLeratorDB functions COUPDAYSNC, COUPNUM, DAYS360, EDATE, IRR, PRICE, PV, RATE, SeriesDate, SeriesInt, XIRR, and YIELD.
Read More »
Calculating the Time-Weighted Rate of Return in SQL Server
By cflock on 11/25/2011 1:51 PM
With the release of the TWRR multi-input aggregate function, XLeratorDB users can now calculate the time-weighted rate of return directly in a T-SQL statement.
Read More »
11 financial calculations that you can’t do in EXCEL
By cflock on 10/18/2011 8:16 PM
Here is a list of 11 very simple financial calculations that you can’t do in EXCEL, either because the EXCEL design of a function doesn’t support the input data, or because EXCEL produces a result that is wrong or unreliable. Of course, we used EXCEL 2010 and, of course, you can do them in SQL Server using XLeratorDB.
Part 1 of 11 - Enter a negative yield to calculate the price of a bond
Read More »
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22. Product Quality and Testing

23. 1.6 Billion Test Cases XLeratorDB Product Quality and Testing
XLeratorDB ‘s product quality meets the highest standard
XLeratorDB quality is assured with over 1.6 billion test cases
XLeratorDB employs a “test harness” for every function, each containing an average of million test cases
The quality of XLeratorDB gives you the confidence to focus on your business, not your software
1.6 Billion Test Cases
Finance
Statistics
Windowing
Math
XLeratorDB
Utilities
Financial-Options
Strings
Engineering 23
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24. Compatibility

25. XLeratorDB Technical Compatibility
XLeratorDB functions are accessible to any programming language or application that can connect to a database
Databases
SQL Server
SQL Server 2005
SQL Server 2008
SQL Server 2012
also Oracle, MySQL, DB2, etc.
via ODBC/Linked Servers
Development languages
.Net
Java
Perl
C++
Python
Powershell
and many others…
Applications
MS Excel
MS Access
MS SSRS
QlikTech’s QlikView
Misys Eagle Eye R
and many others…
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26. Summary

27. XLeratorDB greatly enhances the overall value of SQL Server
XLeratorDB Summary
XLeratorDB includes over 650 sophisticated functions covering Finance, Statistics, Financial Options, Math, Engineering, Windowing and Strings
XLeratorDB dramatically increases performance and security, reduces risk and has impeccable quality
XLeratorDB greatly enhances the overall value of SQL Server
FUNCTION LIBRARIES FOR SQL SERVER
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28. XLeratorDB New Functionality driven by client input
XLeratorDB Summary
XLeratorDB Licensing Model is very flexible with surprisingly low cost of ownership
XLeratorDB Product Updates and and Phone Support provided at no additional charge
XLeratorDB New Functionality driven by client input
Consulting Services are also available
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29. to the next step in computational power…
E-v-O-L-V-E
to the next step in computational power…
FUNCTION LIBRARIES FOR SQL SERVER
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