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

Written by Dean Harding


Continued from page 1

A thing that's often confusing to beginning online poker players is that they think thatrepparttar money inrepparttar 137968 pot somehow goes intorepparttar 137969 computation ofrepparttar 137970 pot odds. Actually, any money inrepparttar 137971 pot is not yours. It was yours before you put it inrepparttar 137972 pot, butrepparttar 137973 only way to get it back is to winrepparttar 137974 pot. This isrepparttar 137975 reason that money you have already placed inrepparttar 137976 pot is not used in pot odds computation.

Remember to always get your money in withrepparttar 137977 best of it and overrepparttar 137978 long run you will be not only a winning online poker player, but a profitable one too.

For more online poker rooms reviews tips and articles for players please visit http://www.poker-prophet.com


Business Intelligence and Data Warehousing in a Business Perspective

Written by Yasas Vishuddhi Abeywickrama


Continued from page 1

Investment costs for a DW inrepparttar short term may look quite high, but it’s important to re-iterate thatrepparttar 137967 gains are much higher and it will span over many years to come. It also reduces future development cost since withrepparttar 137968 DW any requested report or view could be easily facilitated. However, it is important to findrepparttar 137969 right business sponsor forrepparttar 137970 project. He or she needs to communicate regularly with executives to ensure that they understandrepparttar 137971 value of what's being built. Business sponsors need to be decisive, take an enterprise-wide perspective and haverepparttar 137972 authority to enforce their decisions.

2.4 Process

Implementation of a DW itself overlaps with some phases ofrepparttar 137973 above explained BI process and it’s important to note that in a process standpoint, DW falls in torepparttar 137974 first few phases ofrepparttar 137975 entire BI initiative. Gaining highly valuable information out of DW isrepparttar 137976 latter part ofrepparttar 137977 BI process. This can be done in many ways. DW can be used asrepparttar 137978 data repository of application servers that run decision support systems, management Information Systems, Expert systems etc., through them, intelligent information could be achieved. But one ofrepparttar 137979 latest strategies is to build cubes out ofrepparttar 137980 DW and allow users to analyze data in multiple dimensions, and also provide with powerful analytical supporting such as drill down information in to granular levels. Cube is a concept that is different torepparttar 137981 traditional relational 2-dimensional tabular view, and it has multiple dimensions, allowing a manager to analyze data based on multiple factors, and not just two factors. Onrepparttar 137982 other hand, it allowsrepparttar 137983 user to select whateverrepparttar 137984 dimension he wish to choose for analyzing purposes and not be limited by one fixed view of data, which is called as slice & dice in DW terminology.

BI for a serious enterprise is not just a phase of a computerization process, but it is one ofrepparttar 137985 major strategies behindrepparttar 137986 entire organizational drivers. Therefore management should sit down and build up a BI strategy forrepparttar 137987 company and identifyrepparttar 137988 information they require in each business direction withinrepparttar 137989 enterprise. Given this, BA needs to analyzerepparttar 137990 organizational data sources in order to build uprepparttar 137991 most effective DW which would helprepparttar 137992 strategized BI process.

2.5 High level Ideas on Implementation

Atrepparttar 137993 heart ofrepparttar 137994 data warehousing process isrepparttar 137995 extract, transform, and load (ETL) process. Implementation of this merely is a technical concern but it’s a business concern to make sure it is designed in such a way that it ultimately helps to satisfyrepparttar 137996 business requirements. This process is responsible for connecting to and extracting data from one or more transactional systems (source systems), transforming it according torepparttar 137997 business rules defined throughrepparttar 137998 business objectives, and loading it intorepparttar 137999 all important data model. It is at this point where data quality should be gained. Ofrepparttar 138000 many responsibilities ofrepparttar 138001 data warehouse,repparttar 138002 ETL process represents a significant portion of allrepparttar 138003 moving parts ofrepparttar 138004 warehousing process.

Creation of a powerful DW depends onrepparttar 138005 correctness of data modeling, which isrepparttar 138006 responsibility ofrepparttar 138007 database architect ofrepparttar 138008 project, but BA needs to play a pivotal role providing him with correct data sources, data requirements and most importantly business dimensions. Business Dimensional modeling is a special method used for DW projects and this normally should be carried out byrepparttar 138009 BA and from there onwards technical experts should take uprepparttar 138010 work. Dimensions are perspectives specific to a business that could be used for analysis purposes. As an example, for a sales database,repparttar 138011 dimensions could include Product, Time, Store, etc. Obviously these dimensions differ from one business to another and hence for each DW initiative those dimensions should be correctly identified and that could be very well done by a person who has experience inrepparttar 138012 DW domain and understandsrepparttar 138013 business as well, making it apparent that DW BA isrepparttar 138014 person responsible.

Each ofrepparttar 138015 identified dimensions would be turned in to a dimension table atrepparttar 138016 implementation phase, andrepparttar 138017 objective ofrepparttar 138018 above explained ETL process is to fill up these dimension tables, which in turn will be taken torepparttar 138019 level ofrepparttar 138020 DW after performing some more database activities based on a strong underlying data model. Implementation details are not important for a business stakeholder but being aware of high level process to this level is important so that they are also onrepparttar 138021 same pitch as that ofrepparttar 138022 developers and can confirm that developers are actually doing what they are supposed to do and would ultimately deliver what they are supposed to deliver.

Security is also vital in this regard, since this entire effort deals with highly sensitive information and identification of access right to specific people to specific information should be correctly identified and captured atrepparttar 138023 requirements analysis stage.

2.6 Advantages

There are so many advantages of BI system. More presentation of analytics directly torepparttar 138024 customer or supply chain partner will be possible. Customer scores, customer campaigns and new product bundles can all be produced from analytic structures resulting in high customer retention and creation of unique products. More collaboration within information can be achieved from effective BI. Rather than middle managers getting great reports and making their own areas look good, information will be conveyed into other functions and rapidly shared to create collaborative decisions increasingrepparttar 138025 efficiency and accuracy. The return on human capital will be greatly increased. Managers at all levels will save their time on data analysis, and hence saving money forrepparttar 138026 enterprise, asrepparttar 138027 time of managers is equal to money in a financial perspective. Since powerful BI would enable monitoring internal processes ofrepparttar 138028 enterprises more closely and allow making them more efficient,repparttar 138029 overall success ofrepparttar 138030 organization would automatically grow. All these would help to derive a high ROI on BI together with a strong DW. It is a common experience to notice very high ROI figures on such implementations, and it is also important to note that there are many non-measurable gains whilst we consider most ofrepparttar 138031 measurable gains forrepparttar 138032 ROI calculation. However, at a stage where it is intended to takerepparttar 138033 management buy-in forrepparttar 138034 BI initiative, it’s important to convert allrepparttar 138035 non measurable gains in to monitory values as much as possible, for example, saving of managers time can be converted in to a monitory value using his compensation.

3 Conclusion

Looking atrepparttar 138036 business arena today, irrespective ofrepparttar 138037 domain, competition has increased, number of challenges have grown whilst they are different and complicated. It is essential to have allrepparttar 138038 IT backings with cutting-edge technologies and powerful analytical capabilities in order to achieverepparttar 138039 ultimate objectives ofrepparttar 138040 business. Therefore, having BI is crucial, and having DW to supportrepparttar 138041 process is also obviously going to be crucial.

Currently working in the business analysis area of a premier software company but Started career as a Software Engineer. Intersted in both IT and business.


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