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Business intelligence

Business intelligence
Business intelligence (BI) is the set of techniques and tools for the transformation of raw data into meaningful and useful information for business analysis purposes. BI technologies are capable of handling large amounts of unstructured data to help identify, develop and otherwise create new strategic business opportunities. The goal of BI is to allow for the easy interpretation of these large volumes of data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability.[1] BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics. Components[edit] History[edit] [edit]

http://en.wikipedia.org/wiki/Business_intelligence

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Data Warehousing Concepts This chapter provides an overview of the Oracle data warehousing implementation. It includes: Note that this book is meant as a supplement to standard texts about data warehousing. This book focuses on Oracle-specific material and does not reproduce in detail material of a general nature. Two standard texts are: The Data Warehouse Toolkit by Ralph Kimball (John Wiley and Sons, 1996) Building the Data Warehouse by William Inmon (John Wiley and Sons, 1996) Thinking Spatially Thinking spatially is a part of everyday living.It is also endemic to all manner of sciences, from astronomy to zoology, and at all scales from the nanoscale to the universe scale.But just what do we know about spatial thinking? Ok.So now that we realize how widespread spatial thinking really is, let's learn a little more about it.Spatial thinking includes the following: Translating from one dimension to another (as in creating 2-D maps from 3-D environments). Realizing distance properties (such as adjacency, proximity, similarity, nearest neighbor, crow-fly distance, or "over-the-road" distance). Comprehending orientation and direction (e.g., as in using global references such as North, South, East, and West, angular bearings, or clock-face directions-as in "the statue is at two o'clock from you"). Using frames of reference (such as latitude and longitude or local street numbering systems).

Data warehouse Data Warehouse Overview In computing, a data warehouse (DW, DWH), or an enterprise data warehouse (EDW), is a database used for reporting and data analysis. Integrating data from one or more disparate sources creates a central repository of data, a data warehouse (DW). Data warehouses store current and historical data and are used for creating trending reports for senior management reporting such as annual and quarterly comparisons. The data stored in the warehouse is uploaded from the operational systems (such as marketing, sales, etc., shown in the figure to the right).

energetixhealing.co.za “PSTEC™: The best invention in the mental health field since acupuncture and repetitive knocking on pressure points, period. No medications come close and certainly no therapeutic procedures come close.” ~ Kaben Starre: Hypnotherapist, Arizona What is PSTEC™?Percussive Suggestion Technique™ (PSTEC™) is a powerful, effective and unique audio process that has been created and invented by Tim Phizackerley. In a nutshell, it is helpful to think of the PSTEC™ audio as 'an eraser for the mind' which works (releases) in the most easy, efficient and rapid manner; typically in a few minutes.

CO-4 grass used as fodder increases milk yield considerably In Kerala, even though 60 per cent of the milk requirement is met by procurement from other states like Tamil Nadu, Karnataka and Maharashtra, cattle rearing is fast declining due to high cost of production, labour shortage and shrinking land. Heavy dependence on other states for raw materials pushes up the cost of concentrate feeds. “Dry straw (hay) used to feed cattle has become scarce due to decline in area under rice cultivation. It becomes a dire necessity for dairy farmers to start growing green fodder (grass) if they desire to run their unit profitably,” says Dr.S.

Back to School with Geo-Literacy "Geo Learning" by Daniel C. Edelson,Vice President for Education, National Geographic Society Data mining Data mining is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems.[1] It is an interdisciplinary subfield of computer science.[1][2][3] The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use.[1] Aside from the raw analysis step, it involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating.[1] Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD.[4] Etymology[edit] In the 1960s, statisticians used terms like "Data Fishing" or "Data Dredging" to refer to what they considered the bad practice of analyzing data without an a-priori hypothesis.

Group decision making Group decision-making (also known as collaborative decision-making) is a situation faced when individuals collectively make a choice from the alternatives before them. The decision is then no longer attributable to any single individual who is a member of the group. This is because all the individuals and social group processes such as social influence contribute to the outcome. The decisions made by groups are often different from those made by individuals. Group polarization is one clear example: groups tend to make decisions that are more extreme than those of its individual members, in the direction of the individual inclinations.[1]

types of fodder, their requirement,their yield per acre - Animals / पशु - aAQUA Respected Sirs, In certain old threads you mention the need of green,dry fodders & concentrate for feeding pure murrahs & hf/jersey cows.Sir, I'm located at Hyderabad. Sir, If I want to maintain max. fat content,yield,health of cattle, I have few queries regarding that:- 1. what kind of green grass(variety) is most nutritious & healthy for the above animals? 2. what is the av.quantity(in kgs) of that grass can be grown & yielded in 1 acre of land per year? 3.what is the total requirement of best quality green grass for 1 full year for 1 murrah & 1 hf/jersey cow separately(1 full cycle of lactation,pregnancy& dry period?

Spatial Thinking in the Geosciences Spatial thinking is thinking that finds meaning in the shape, size, orientation, location, direction or trajectory, of objects, processes or phenomena, or the relative positions in space of multiple objects, processes or phenomena. Spatial thinking uses the properties of space as a vehicle for structuring problems, for finding answers, and for expressing solutions (National Research Council, 2006). Geoscience demands extensive spatial thinking from learners and practitioners (National Research Council, 2006; Kastens & Ishikawa, 2006). Geoscientists describe, and classify, and look for causal meaning in the shape of myriad objects in nature, inferring strain history from the shape of a mineral, temperature of an ancient ocean from the shape of a marine microfossil, and atmospheric conditions from the shape of a cloud. With respect to spatial thinking in the geosciences, we wish to know:

Statistics vs Data Science vs BI As someone who trained as a statistician, I've always struggled with that title. I love the rigor and insight that Statistics brings to data analysis, but let's face it: Statistics — the name — has always had a bit of a branding problem. Telling someone I was a statistician was more likely to conjure up images of me counting runs at a baseball (or cricket) game than pursuing serious science. And the image of what Statistics ideally is about — collaborative, interactive, applied, fun — was too often subsumed by the stereotype image — isolated, actuarial, ivory tower, report driven. (And hey, even actuaries can be fun sometimes.) Free Report with Management Intelligence newsletter Thank you! Your Free Download of Strategy Surgery 2014 is here. If you like it, you can the next two issues free too. See below for full details. You will also soon be receiving your first copy of our free weekly newsletter. To be sure your email anti-spam filters don't stop you receiving it, please add ...

The lookup stage in Datastage The lookup stage in Datastage 8 is an enhanced version of what was present in earlier Datastage releases. This article is going to take a deep dive into the new lookup stage and the various options it offers. Even though the lookup stage can’t be used in cases where huge amounts of data are involved(since it requires data to be present in the memory for operations), it still warrants its own place in job designs.

Maptitude Geographic Information System and mapping software Mapping made easy Answer a few simple questions and Create-a-Map Wizard™ makes a map at any scale, from all of the countries of the world, to streets around an address, landmark, or intersection. With a few clicks of the mouse, MapWizard® automatic mapping technology helps you create color and pattern maps, dot-density maps, scaled-symbol maps, and maps with integrated pie or bar charts. You can customize the colors, styles, and labels in your map. Once you understand the patterns hidden in the numbers, share your maps to tell your stories. Copy them to reports and slideshow presentations, save them to JPEG, PNG or HTML for use on websites, or print them out as handouts or wall-size posters.

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