The present disclosure describes novel systems and methods that can be utilized to evaluate and/or direct an interaction with a consumer database and/or evaluate a consumer database, where the consumer database contains information about consumers and particular products and/or services held or used by the consumers. The interactions may be, for example, determining a strategy for sales, marketing, cross-selling, and/or retaining one or more of the consumers. The evaluations may include, for example, hierarchically ranking the consumers and/or determining a clustering of the consumers.

System and method for estimating residual lifetime value of a customer base utilizing survival analysis

System and method for evaluating a client base

The invention is directed to a system and method for conducting account requests with a financial institution accessible with a client device over a network. An account is established with the financial institution and a user can access the account via the client device. The client device has a user interface that includes a natural language input. A request is input via the natural language input. The inputting step causes network components (e.g., server 42 and one or more software modules 50 ) to determine whether the request can be granted. Information respecting the request is transmitted to the user interface. The information includes an indication of whether the request can be granted. The inputting step can cause the network components to query a search engine. In this case the search engine returns search results respecting the request. The request can be generally selected from the group including: a request for historical account information, a request for market price data, a request for analysis information, a request for a purchase of a security, a request for a sale of a security, or a request for status information. The received information respecting the request can include a plurality of transaction choices, ones of which when selected cause the network components to execute steps in furtherance of the request. The received information respecting the request can also include a request for confirmation of the request. The system can access account information associated with the account and use at least a portion of the account information in connection with processing the request.

System And Method For Conducting Account Requests Over A Network Using Natural Language

Systems and method are disclosed for quoting, adjusting and settling futures contracts by successively removing the just-realized variables from the quoted futures price to focus the quoted contract value to the remaining unrealized economic variables. Further, such systems and method for quoting, adjusting and settling the futures contracts preserve the underlying economic consideration for the trade when compared with the traditional way of quoting futures based on the same cumulative sum.

Systems and Methods for Using Declining Balance Methodologies To Enhance Clearing of Dividend Futures and Other Instruments

The invention relates to a loss rate obtaining method and device. The loss rate acquisition method comprises the following steps: receiving a query condition input by a user; Querying a database of the SAP system according to the query condition to obtain a production order identifier conforming to the query condition; Obtaining loss information of the component material of the corresponding product according to the production order identifier; And obtaining the loss rate of the component material according to the loss information and the standard dosage information of the component material.According to the embodiment of the invention, the data processing amount can be reduced, and the efficiency of obtaining the loss rate of the component material is improved.

loss rate obtaining method and device

A Life-Time Value (LTV) system is a data-driven computer-facilitated financial model that provides accurate and consistent profitability projections using current period account level profitability data stored in a Relational Database Management System (RDBMS). The Life-Time Value system performs Net Present Value (NPV) and Future Value (FV) processing using business-rule and data-driven applications that embrace the current period profit components, defines forecast periods, parameters and methodologies, and applies appropriate growth values, attrition values and propensity values to an object of future value interest.

Net present value forecast for life-time value financial processing in a relational database management system

Life-time value financial processing in a relational database management system

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Peter Hans Redweik

Author Tools

Chat about Author

Papers

Net present value forecast for life-time value financial processing in a relational database management system

Life-time value financial processing in a relational database management system