Learn to play poker online in order to make money - Pot Odds

Written by Dean Harding


For most people, there are only two real reasons to play poker: fun and profit, which are sometimes interrelated (more profit means more fun).

But in order to make money by playing poker online, you should always be gathering information about your opponents and, why not, about yourself. Asides that, another vital thing isrepparttar ability to determine, use and understand pot odds, which is one ofrepparttar 137968 most underrated concepts for beginning online poker players. Pot odds are calculations used during a game of poker that putrepparttar 137969 concept of risk and reward into numbers. In this article, we provide you with an explanation of pot odds in order to help you start using them in your game.

Whenever you are in a hand and need to decide whether or not to call a bet, count how many cards that are still unseen that can come onrepparttar 137970 turn and/or river that can help you. Then checkrepparttar 137971 number onrepparttar 137972 chart below to getrepparttar 137973 pot odds. For example, you have A5s with two more of your suit onrepparttar 137974 flop. Therefore you have 9 outs to makerepparttar 137975 nut flush. Your odds of hitting it onrepparttar 137976 turn are 4.2 to 1 and to hit it onrepparttar 137977 turn or river 1.9 to 1. If you are only concerned about hitting it onrepparttar 137978 turn,repparttar 137979 pot must have at least 4.2 timesrepparttar 137980 amount you must place inrepparttar 137981 pot to make this a profitable call. If you are playing no-limit holdem and a player has moved all-in, if there is at least 1.9 timesrepparttar 137982 amount you have to call inrepparttar 137983 pot it is a correct call and will be profitable inrepparttar 137984 long run. Pot odds are just a quick way of seeing if a bet will be profitable if you are inrepparttar 137985 same situation thousands of times.

Business Intelligence and Data Warehousing in a Business Perspective

Written by Yasas Vishuddhi Abeywickrama


Abstract

Business Intelligence has become a very important inrepparttar business arena irrespective ofrepparttar 137967 domain due torepparttar 137968 fact that managers need to analyze comprehensively in order to facerepparttar 137969 challenges. To makerepparttar 137970 business intelligence effective, having a Data Warehouse is an essential thing, because withoutrepparttar 137971 power of a data warehouse, it is practically impossible to provide allrepparttar 137972 information, reports and views required byrepparttar 137973 management. There are many technical concerns when it comes to a technical implementation, butrepparttar 137974 business stakeholders need to showrepparttar 137975 right direction if they are to achieve success. This paper discusses business concerns related to a Business Intelligence initiative together with a Data Warehouse.

1 Introduction

Business Intelligence (BI) is an effort of increasingrepparttar 137976 competitive advantage of a business by intelligent use of available data in decision making. Irrespective ofrepparttar 137977 domain that business is engaged in,repparttar 137978 competition in today’s business world has increased as never before. Thus all sorts of facilities are required to facerepparttar 137979 challenge. Information Technology (IT) plays a major role in this regard and one ofrepparttar 137980 main concerns withinrepparttar 137981 overall IT strategy is Business Intelligence.

2 Business Intelligence & Data Warehousing in a Business Perspective - Body

2.1 Business Intelligence

Data sourcing, data analysing, extractingrepparttar 137982 correct information for a given criteria, assessingrepparttar 137983 risks and finally supportingrepparttar 137984 decision making process arerepparttar 137985 main components of BI.

In a business perspective, core stakeholders need to be well aware of allrepparttar 137986 above stages and be crystal clear on expectations. The person, who is being assigned withrepparttar 137987 role of Business Analyst (BA) forrepparttar 137988 BI initiative either fromrepparttar 137989 BI solution providers’ side orrepparttar 137990 company itself, needs to takerepparttar 137991 full responsibility on assuring that allrepparttar 137992 above steps are correctly being carried out, in a way that it would ultimately giverepparttar 137993 businessrepparttar 137994 expected leverage. The management, who will berepparttar 137995 users ofrepparttar 137996 BI solution, andrepparttar 137997 business stakeholders, need to communicate withrepparttar 137998 BA correctly and elaborately on their expectations and help him throughoutrepparttar 137999 process.

Data sourcing is an initial yet crucial step that would have a direct impact onrepparttar 138000 system where extracting information from multiple sources of data has to be carried out. The data may be on text documents such as memos, reports, email messages, and it may be onrepparttar 138001 formats such as photographs, images, sounds, and they can be on more computer oriented sources like databases, formatted tables, web pages and URL lists. The key to data sourcing is to obtainrepparttar 138002 information in electronic form. Therefore, typically scanners, digital cameras, database queries, web searches, computer file access etc, would play significant roles. In a business perspective, emphasis should be placed onrepparttar 138003 identification ofrepparttar 138004 correct relevant data sources,repparttar 138005 granularity ofrepparttar 138006 data to be extracted, possibility of data being extracted from identified sources andrepparttar 138007 confirmation that only correct and accurate data is extracted and passed on torepparttar 138008 data analysis stage ofrepparttar 138009 BI process. Business oriented stake holders guided byrepparttar 138010 BA need to put in lot of thought duringrepparttar 138011 analyzing stage as well, which isrepparttar 138012 second phase. Synthesizing useful knowledge from collections of data should be done in an analytical way usingrepparttar 138013 in-depth business knowledge whilst estimating current trends, integrating and summarizing disparate information, validating models of understanding, and predicting missing information or future trends. This process of data analysis is also called data mining or knowledge discovery. Probability theory, statistical analysis methods, operational research and artificial intelligence arerepparttar 138014 tools to be used within this stage. It is not expected that business oriented stake holders (includingrepparttar 138015 BA) are experts of allrepparttar 138016 above theoretical concepts and application methodologies, but they need to be able to guiderepparttar 138017 relevant resources in order to achieverepparttar 138018 ultimate expectations of BI, which they know best.

Identifying relevant criteria, conditions and parameters of report generation is solely based on business requirements, which need to be well communicated byrepparttar 138019 users and correctly captured byrepparttar 138020 BA. Ultimately, correct decision support will be facilitated throughrepparttar 138021 BI initiative and it aims to provide warnings on important events, such as takeovers, market changes, and poor staff performance, so that preventative steps could be taken. It seeks to help analyze and make better business decisions, to improve sales or customer satisfaction or staff morale. It presentsrepparttar 138022 information that manager’s need, as and when they need it.

In a business sense, BI should go several steps forward bypassingrepparttar 138023 mere conventional reporting, which should explain “what has happened?” through baseline metrics. The value addition will be higher if it can produce descriptive metrics, which will explain “why has it happened?” andrepparttar 138024 value added torepparttar 138025 business will be much higher if predictive metrics could be provided to explain “what will happen?” Therefore, when providing a BI solution, it is important to think in these additional value adding lines.

2.2 Data warehousing

Inrepparttar 138026 context of BI, data warehousing (DW) is also a critical resource to be implemented to maximizerepparttar 138027 effectiveness ofrepparttar 138028 BI process. BI and DW are two terminologies that go in line. It has come to a level where a true BI system is ineffective without a powerful DW, in order to understandrepparttar 138029 reality behind this statement, it’s important to have an insight in to what DW really is.

A data warehouse is one large data store forrepparttar 138030 business in concern which has integrated, time variant, non volatile collection of data in support of management's decision making process. It will mainly have transactional data which would facilitate effective querying, analyzing and report generation, which in turn would giverepparttar 138031 managementrepparttar 138032 required level of information forrepparttar 138033 decision making.

2.3 The reasons to have BI together with DW

At this point, it should be made clear why a BI tool is more effective with a powerful DW. To query, analyze and generate worthy reports,repparttar 138034 systems should have information available. Importantly, transactional information such as sales data, human resources data etc. are available normally in different applications ofrepparttar 138035 enterprise, which would obviously be physically held in different databases. Therefore, data is not at one particular place, hence making it very difficult to generate intelligent information. The level of reports expected today, are not merely independent for each department, but managers today want to analyze data and relationships acrossrepparttar 138036 enterprise so that their BI process is effective. Therefore, having data coming from allrepparttar 138037 sources to one location inrepparttar 138038 form of a data warehouse is crucial forrepparttar 138039 success ofrepparttar 138040 BI initiative. In a business viewpoint, this message should be passed and sold torepparttar 138041 managements of enterprises so that they understandrepparttar 138042 value ofrepparttar 138043 investment. Once invested, its gains could be achieved over several years, in turn marking a high ROI.

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