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Record W214066347

The Station Never Sleeps

2000· article· en· W214066347 on OpenAlexaboutno aff
Jeff McKinney

Bibliographic record

VenueJournal of accountancy online/Journal of accountancy · 2000
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Reporting and Valuation Research
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessFinanceTreasuryPortfolioMarketing
DOInot available

Abstract

fetched live from OpenAlex

A can help a midsize company manage working capital around the clock. In today's global economy, a is, in effect, a high-speed banking tie-line. The name treasury workstation is the catchall for hardware integrated with management applications that handle corporate functions such as managing cash, debt and investment services; maintaining access to capital markets; and generating reports from internal and external accounting systems. workstations have evolved into robust systems that manage cash, support position and portfolio management and offer sophisticated risk management functionality, says Ann Rodriguez, director of financial services consulting at BDO Seidman, LLP. Treasury benefits include increased efficiency, better rates on investments and more stringent expense control. They allow companies to automateost core operations seamlessly with a database and communicate directly with banks, other financial institutions and sometimes even customers and suppliers. Treasury workstations eliminate the need for multiple system spreadsheets; increase reliability in financial reporting and decision making; streamline administrative efforts; and reduce manual errors. Not long ago such sophisticated information technology tools were too expensive for any but the world's largest corporations. Today vendors are focusing on marketing to businesses of all types and sizes and price ranges. With off-the-shelf enterprise resource planning (ENP) software for midsize companies widely available (see How Midsize Companies Are Buying ERP, JofA, Sept.99, page 41), vendors are selling management modules both as separate units or part of larger systems. For midsize companies, a management application compatible with existing systems may be affordable. If a corporate treasurer's company has annual revenues in the $50-million-to-$100-million range, now may be the time to take another look at what workstations have to offer. HOW THEY WORK A is an information system that allows a corporate treasurer or other financial officer to manage a company's operations, comprising all accounting functions, funds transfers, investments and cash--including an organization's working capital and daily cash position. It consists of software, hardware, and a database. The hardware and database often are used for other purposes as well. Some more sophisticated workstations have extensive access to external databases including real time information on capital markets and e-commerce connections with customers, suppliers, investors and providers of financial services such as banks and insurance companies. External interfaces may be established to the existing accounting system for complete end-to-end processing, Rodriguez says. THE BENEFITS Vancouver-based Selkirk Financial Technologies has a client list ranging from Armonk, New York-based IBM Corp. to a municipality in New Zealand with a population of 60,000. Lyndon J. Harvey, Selkirk's chief operating officer, says businesses as diverse as a regional electric utility, a small boutique retailer and a major manufacturer use workstations today. (For user perspectives, see the sidebars, Times Mirror, Reflecting Trend, Relies on Treasury Workstation, page 68, and Ingram's System Saves $30,000 a Year, at left.) Treasury workstations offer big savings. For example, one vendor says his company might work with a client company that has average daily cash balances of $10 million, spread among banks all over the country. Given the minimal yields many banks offer, money that sits there is not doing anything for you, he says. Treasury workstations can reallocate, reducing the amount of working capital sitting idle in bank accounts by as much as 75% and sweeping cash from low interest accounts and investing it The company can put $7. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.639
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.006
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.302
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2000
Admission routes1
Has abstractyes

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