| Data Mining and Financial Data Analysis | | | | Eg, 2. One may like to view the debt and revenue |
| | | | | change by month, by region and by other factors |
| Mr. Felix Deepak Minj: [HOD Information Tech., | | | | along with minimum, maximum, total, average, |
| Shekhawati Group of College, Sikar] | | | | and other statistical information. Data ware |
| | | | | houses, give the facility for comparative analysis |
| | | | | and outlier analysis all are play important roles in |
| | | | | financial data analysis and mining. |
| Most marketers understand the value of collecting | | | | |
| financial data, but also realize the challenges of | | | | Eg, 3. Loan payment prediction and customer |
| leveraging this knowledge to create intelligent, | | | | credit analysis are critical to the business of the |
| proactive pathways back to the customer. Data | | | | bank. There are many factors can strongly |
| mining - technologies and techniques for | | | | influence loan payment performance and |
| recognizing and tracking patterns within data - | | | | customer credit rating. Data mining may help |
| helps businesses sift through layers of seemingly | | | | identify important factors and eliminate irrelevant |
| unrelated data for meaningful relationships, where | | | | one. |
| they can anticipate, rather than simply react to, | | | | |
| customer needs as well as financial need. In this | | | | Factors related to the risk of loan payments like |
| accessible introduction, we provides a business | | | | term of the loan, debt ratio, payment to income |
| and technological overview of data mining and | | | | ratio, credit history and many more. The banks |
| outlines how, along with sound business processes | | | | than decide whose profile shows relatively low |
| and complementary technologies, data mining can | | | | risks according to the critical factor analysis. |
| reinforce and redefine for financial analysis. | | | | We can perform the task faster and create a |
| | | | | more sophisticated presentation with financial |
| Objective: | | | | analysis software. These products condense |
| | | | | complex data analyses into easy-to-understand |
| 1. The main objective of mining techniques is to | | | | graphic presentations. And there’s a bonus: |
| discuss how customized data mining tools should | | | | Such software can vault our practice to a more |
| be developed for financial data analysis. | | | | advanced business consulting level and help we |
| 2. Usage pattern, in terms of the purpose can be | | | | attract new clients. |
| categories as per the need for financial analysis. | | | | To help us find a program that best fits our |
| 3. Develop a tool for financial analysis through | | | | needs—and our budget—we examined some |
| data mining techniques. | | | | of the leading packages that represent, by |
| | | | | vendors’ estimates, more than 90% of the |
| Data mining: | | | | market. Although all the packages are marketed |
| | | | | as financial analysis software, they don’t all |
| Data mining is the procedure for extracting or | | | | perform every function needed for full-spectrum |
| mining knowledge for the large quantity of data or | | | | analyses. It should allow us to provide a unique |
| we can say data mining is “knowledge mining | | | | service to clients. |
| for data” or also we can say Knowledge | | | | The Products: |
| Discovery in Database (KDD). Means data mining | | | | ACCPAC CFO (Comprehensive Financial Optimizer) |
| is : data collection , database creation, data | | | | is designed for small and medium-size enterprises |
| management, data analysis and understanding. | | | | and can help make business-planning decisions by |
| | | | | modeling the impact of various options. This is |
| There are some steps in the process of | | | | accomplished by demonstrating the what-if |
| knowledge discovery in database, such as | | | | outcomes of small changes. A roll forward feature |
| 1. Data cleaning. (To remove nose and inconsistent | | | | prepares budgets or forecast reports in minutes. |
| data) | | | | The program also generates a financial scorecard |
| 2. Data integration. (Where multiple data source | | | | of key financial information and indicators. |
| may be combined.) | | | | Customized Financial Analysis by BizBench |
| 3. Data selection. (Where data relevant to the | | | | provides financial benchmarking to determine how |
| analysis task are retrieved from the database.) | | | | a company compares to others in its industry by |
| 4. Data transformation. (Where data are | | | | using the Risk Management Association (RMA) |
| transformed or consolidated into forms | | | | database. It also highlights key ratios that need |
| appropriate for mining by performing summary or | | | | improvement and year-to-year trend analysis. A |
| aggregation operations, for instance) | | | | unique function, Back Calculation, calculates the |
| 5. Data mining. (An essential process where | | | | profit targets or the appropriate asset base to |
| intelligent methods are applied in order to extract | | | | support existing sales and profitability. Its DuPont |
| data patterns.) | | | | Model Analysis demonstrates how each ratio |
| 6. Pattern evaluation. (To identify the truly | | | | affects return on equity. |
| interesting patterns representing knowledge based | | | | Financial Analysis CS reviews and compares a |
| on some interestingness measures.) | | | | client’s financial position with business peers or |
| 7. Knowledge presentation.(Where visualization and | | | | industry standards. It also can compare multiple |
| knowledge representation techniques are used to | | | | locations of a single business to determine which |
| present the mined knowledge to the user.) | | | | are most profitable. Users who subscribe to the |
| | | | | RMA option can integrate with Financial Analysis |
| Data Warehouse: | | | | CS, which then lets them provide aggregated |
| | | | | financial indicators of peers or industry standards, |
| A data warehouse is a repository of information | | | | showing clients how their businesses |
| collected from multiple sources, stored under a | | | | compare.iLumen regularly collects a client’s |
| unified schema and which usually resides at a | | | | financial information to provide ongoing analysis. It |
| single site. | | | | also provides benchmarking information, |
| | | | | comparing the client’s financial performance |
| | | | | with industry peers. The system is Web-based |
| Text: | | | | and can monitor a client’s performance on a |
| | | | | monthly, quarterly and annual basis. The network |
| Most of the banks and financial institutions offer a | | | | can upload a trial balance file directly from any |
| wide verity of banking services such as checking, | | | | accounting software program and provide charts, |
| savings, business and individual customer | | | | graphs and ratios that demonstrate a |
| transactions, credit and investment services like | | | | company’s performance for the period. |
| mutual funds etc. Some also offer insurance | | | | Analysis tools are viewed through customized |
| services and stock investment services. | | | | dashboards. |
| | | | | PlanGuru by New Horizon Technologies can |
| There are different types of analysis available, but | | | | generate client-ready integrated balance sheets, |
| in this case we want to give one analysis known | | | | income statements and cash-flow statements. |
| as “Evolution Analysis”. | | | | The program includes tools for analyzing data, |
| | | | | making projections, forecasting and budgeting. It |
| Data evolution analysis is used for the object | | | | also supports multiple resulting scenarios. The |
| whose behavior changes over time. Although this | | | | system can calculate up to 21 financial ratios as |
| may include characterization, discrimination, | | | | well as the breakeven point. PlanGuru uses a |
| association, classification, or clustering of time | | | | spreadsheet-style interface and wizards that guide |
| related data, means we can say this evolution | | | | users through data entry. It can import from |
| analysis is done through the time series data | | | | Excel, QuickBooks, Peachtree and plain text files. |
| analysis, sequence or periodicity pattern matching | | | | It comes in professional and consultant editions. |
| and similarity based data analysis. | | | | An add-on, called the Business Analyzer, calculates |
| | | | | benchmarks. |
| Data collect from banking and financial sectors are | | | | ProfitCents by Sageworks is Web-based, so it |
| often relatively complete, reliable and high quality, | | | | requires no software or updates. It integrates |
| which gives the facility for analysis and data | | | | with QuickBooks, CCH, Caseware, Creative |
| mining. Here we discuss few cases such as, | | | | Solutions and Best Software applications. It also |
| | | | | provides a wide variety of businesses analyses |
| Eg, 1. Suppose we have stock market data of | | | | for nonprofits and sole proprietorships. The |
| the last few years available. And we would like to | | | | company offers free consulting, training and |
| invest in shares of best companies. A data mining | | | | customer support. It’s also available in Spanish. |
| study of stock exchange data may identify stock | | | | ProfitSystem fx Profit Driver by CCH Tax and |
| evolution regularities for overall stocks and for the | | | | Accounting provides a wide range of financial |
| stocks of particular companies. Such regularities | | | | diagnostics and analytics. It provides data in |
| may help predict future trends in stock market | | | | spreadsheet form and can calculate benchmarking |
| prices, contributing our decision making regarding | | | | against industry standards. The program can track |
| stock investments. | | | | up to 40 periods. |
| | | | | |