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  • Mahout - Clustering - "naming" the cluster elements

    - by Mark Bramnik
    I'm doing some research and I'm playing with Apache Mahout 0.6 My purpose is to build a system which will name different categories of documents based on user input. The documents are not known in advance and I don't know also which categories do I have while collecting these documents. But I do know, that all the documents in the model should belong to one of the predefined categories. For example: Lets say I've collected a N documents, that belong to 3 different groups : Politics Madonna (pop-star) Science fiction I don't know what document belongs to what category, but I know that each one of my N documents belongs to one of those categories (e.g. there are no documents about, say basketball among these N docs) So, I came up with the following idea: Apply mahout clustering (for example k-mean with k=3 on these documents) This should divide the N documents to 3 groups. This should be kind of my model to learn with. I still don't know which document really belongs to which group, but at least the documents are clustered now by group Ask the user to find any document in the web that should be about 'Madonna' (I can't show to the user none of my N documents, its a restriction). Then I want to measure 'similarity' of this document and each one of 3 groups. I expect to see that the measurement for similarity between user_doc and documents in Madonna group in the model will be higher than the similarity between the user_doc and documents about politics. I've managed to produce the cluster of documents using 'Mahout in Action' book. But I don't understand how should I use Mahout to measure similarity between the 'ready' cluster group of document and one given document. I thought about rerunning the cluster with k=3 for N+1 documents with the same centroids (in terms of k-mean clustering) and see whether where the new document falls, but maybe there is any other way to do that? Is it possible to do with Mahout or my idea is conceptually wrong? (example in terms of Mahout API would be really good) Thanks a lot and sorry for a long question (couldn't describe it better) Any help is highly appreciated P.S. This is not a home-work project :)

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  • Ad-hoc reporting similar to Microstrategy/Pentaho - is OLAP really the only choice (is OLAP even sufficient)?

    - by TheBeefMightBeTough
    So I'm getting ready to develop an API in Java that will provide all dimensions, metrics, hierarchies, etc to a user such that they can pick and choose what they want (say, e.g., dimensions of Location (a store) and Weekly, and the metric Product Sales $), provide their choices to the api, and have it spit out an object that contains the answer to their question (the object would probably be a set of cells). I don't even believe there will be much drill up/down. The data warehouse the APIwill interface with is in a standard form (FACT tables, dimensions, star schema format). My question is, is an OLAP framework such as Mondrian the only way to achieve something akin to ad-hoc reporting? I can envisage a really large Cube (or VirtualCube) that contains most of the dimensions and metrics the user could ever want, which would give the illusion of ad-hoc reporting. The problem is that there is a ton of setup to do (so much XML) to get the framework to work with the data. Further it requires specific knowledge, such as MDX, and even moreso learning the framework peculiars (Mondrian API). Finally, I am not positive it will scale much better than simply making queries against a SQL database. OLAP to me feels like very old technology. Is performance really an issue anymore? The alternative I can think of would be dynamic SQL. If the existing tables in the data warehouse conform to a naming scheme (FACT_, DIM_, etc), or if a very simple config file/ database table containing config information existed that stored which tables are fact tables, which are dimensions, and what metrics are available, then couldn't the api read from that and assembly the appropriate sql query? Would this necessarily be harder than learning MDX, Mondrian (or another OLAP framework), and creating all the cubes? In general, I feel that OLAP is at the same time too powerful (supports drill up/down, complex functions) and outdated and am reluctant to base my architecture on it. However, I am unsure if the alternative(s), such as rolling my own ad-hoc reporting framework using dynamic SQL would remove any complexity while still fulfilling requirements, both functional and non-functional (e.g., scalability; some FACT tables have many millions of rows). I also wonder about other techniques (e.g., hive). Has anyone here tried to do ad-hoc reporting? Any advice? I expect this project to take a pretty long time (3 months min, but probably longer), so I just do not want to commit to an architecture without being absolutely sure of its pros and cons. Thanks so much.

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  • Type of AI to tackle this problem?

    - by user1154277
    I posted this on stackoverflow but want to get your recommendations as well as a user on overflow recommended I post it here. I'm going to say from the beginning that I am not a programmer, I have a cursory knowledge of different types of AI and am just a businessman building a web app. Anyways, the web app I am investing in to develop is for a hobby of mine. There are many part manufacturers, product manufacturers, upgrade and addon manufacturers etc. for hardware/products in this hobby's industry. Currently, I am in the process of building a crowd sourced platform for people who are knowledgeable to go in and mark up compatibility between those parts as its not always clear cut if they are for example: Manufacturer A makes a "A" class product, and manufacturer B makes upgrade/part that generally goes with class "A" products, but is for one reason or another not compatible with Manufacturer A's particular "A" class product. However, a good chunk (60%-70%) of the products/parts in the database can have their compatibility inferenced by their properties, For example: Part 1 is type "A" with "X" mm receiver and part 2 is also Type "A" with "X" mm interface and thus the two parts are compatible.. or Part 1 is a 8mm gear, thus all bushings of 8mm from any manufacturer is compatible with part 1. Further more, all gears can only have compatibility relationships in the database with bushing and gear boxes, but there can be no meaningful compatibility between a gear and a rail, or receiver since those parts don't interface. Now what I want is an AI to be able to learn from the decisions of the crowdsourced platform community and be able to inference compatibility for new parts/products based on their tagged attributes, what type of part they are etc. What would be the best form of AI to tackle this? I was thinking a Expert System, but explicitly engineering all of the knowledge rules would be daunting because of the complex relations between literally tens of thousands of parts, hundreds of part types and many manufacturers. Would a ANN (neural network) be ideal to learn from the many inputs/decisions of the crowdsource platform users? Any help/input is much appreciated.

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  • SSIS is Case-Sensitive

    - by andyleonard
    Introduction SSIS is case-sensitive even if the database is case-insensitive. Imagine... ... you work in an ETL shop where someone who believes in natural keys won the Battle of the Joins. Imagine one of your natural keys is a string. (I know it's a stretch... play along!). Let's build some tables to sketch it out. If you do not have a TestDB database, why not? Build one! You'll use it often. Use TestDB go Create Table SSIS1 ( StrID char ( 5 ) , Name varchar ( 15 ) , Value int ) Insert Into SSIS1...(read more)

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  • Developing AI for warhammer board game [closed]

    - by josemanuel
    right now I'm going to develop a simple AI for some units for the board game warhammer fantasy. With some simple rules, I've read some things such as http://gamedev.stackexchange.com/questions/21519/complex-game-ai-for-turn-based-strategy-games . I have the robots to move the pieces, the map is just simple(no hills,buildings..) and I need to start to give an AI for the robot to move the pieces. Problem is I have been searching for a long time and can't really find someone that has done something similar with warhammer, and I don't really know where to begin with or which tools I need to use. I would be glad if someone can give me some headsup on how to begin with, or if any programming language is better, not to mention if there is something similar where I could ask for help.

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  • what languages are used in AI research today?

    - by aaa
    hi. I am currently dabbling in expert systems, emacs lisp, and reading up about artificial intelligence. Traditionally, artificial intelligence is associated with LISP and expert systems with CLIPS. However, I have noticed in computational sciences how much Python is being used. What about the area of artificial intelligence and machine learning? is it still been dominated by LISP? how much is python being used in AI? are any of the newer functional languages, clojure for example, being used in research? in the area of expert systems, which shells are most used/popular today? are there any interesting developments language wise which you know of? Thanks a lot

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  • Business Intelligence Development Studio encounter error on Rendering

    - by user366796
    I try to develop a data processing extension for SSRS 2008 in order to access database through an entity framework. But when I copy and register the extension in BI Development Studio, it gives me an error message while loading the extension". I built it with targeting framework 4.0 by using Visual Studio 2010 because my data model class library was built with that version of target framework. Any help will be greatly appreciated. Thanks.

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  • Easy to use web-based reporting tool

    - by SuperFurryToad
    I'm looking for recommendations for an easy to use reporting/business intelligence tool that can interface with an sql server or access database. It can be web-based or a desktop tool. Ideally it would be freeware or low cost, and easy to use for users who are not that technically savvy (below the level of someone who can generate reports and complicated queries in Access). Any tools I've seen so far (such as Crystal Reports) are either too expensive or too complicated to use for non-power users.

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  • Adding Runtime Intelligence Application Analytics for a library and not an application

    - by brickner
    I want to add usage statistics for a .NET 4.0 library I write on CodePlex. I try to follow the step described here but my problem lies with the fact that what I write is a library and not an application. One of the steps is put the Setup and Teardown attributes. I thought about adding the Setup attribute on a static constructor or a different place that will run once per usage of the library. My problem lies with the Teardown attribute that should be placed on code that ends the usage. I don't know where to put this attribute. Is it possible to get usage statistics on a library? Maybe I can register on an event that will fire when the application unloads the dll?

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  • Approaches for Content-based Item Recommendations

    - by PartlyCloudy
    Hello, I'm currently developing an application where I want to group similar items. Items (like videos) can be created by users and also their attributes can be altered or extended later (like new tags). Instead of relying on users' preferences as most collaborative filtering mechanisms do, I want to compare item similarity based on the items' attributes (like similar length, similar colors, similar set of tags, etc.). The computation is necessary for two main purposes: Suggesting x similar items for a given item and for clustering into groups of similar items. My application so far is follows an asynchronous design and I want to decouple this clustering component as far as possible. The creation of new items or the addition of new attributes for an existing item will be advertised by publishing events the component can then consume. Computations can be provided best-effort and "snapshotted", which means that I'm okay with the best result possible at a given point in time, although result quality will eventually increase. So I am now searching for appropriate algorithms to compute both similar items and clusters. At important constraint is scalability. Initially the application has to handle a few thousand items, but later million items might be possible as well. Of course, computations will then be executed on additional nodes, but the algorithm itself should scale. It would also be nice if the algorithm supports some kind of incremental mode on partial changes of the data. My initial thought of comparing each item with each other and storing the numerical similarity sounds a little bit crude. Also, it requires n*(n-1)/2 entries for storing all similarities and any change or new item will eventually cause n similarity computations. Thanks in advance! UPDATE tl;dr To clarify what I want, here is my targeted scenario: User generate entries (think of documents) User edit entry meta data (think of tags) And here is what my system should provide: List of similar entries to a given item as recommendation Clusters of similar entries Both calculations should be based on: The meta data/attributes of entries (i.e. usage of similar tags) Thus, the distance of two entries using appropriate metrics NOT based on user votings, preferences or actions (unlike collaborative filtering). Although users may create entries and change attributes, the computation should only take into account the items and their attributes, and not the users associated with (just like a system where only items and no users exist). Ideally, the algorithm should support: permanent changes of attributes of an entry incrementally compute similar entries/clusters on changes scale something better than a simple distance table, if possible (because of the O(n²) space complexity)

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  • Is Artificial Intelligence a mature discipline?

    - by Lynxiayel
    I'm designing some AI games recently. And this question that is AI a mature discipline suddenly came to my mind. My own view is that AI is not mature yet. But there're exact theory systems here in AI already, including the expert system or knowledge presenting and so on. So it becomes a problem for me that I can't convince myself about whether it's mature or not with fully demonstration. Anyone has idea about this question? Show me your proof please. Thanks a lot for your attention and help.

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  • Gartner prévoit une forte croissance de la Business Intelligence sur 2011, et un changement en profondeur des solutions

    Gartner prévoit une croissance de 9,7 % du marché de la Business Intelligence Sur 2011, et un changement en profondeur des solutions Le cabinet d'études Gartner prévoit une croissance de 9,7 % du marché de la Business Intelligence (BI) sur 2011. Une croissance qui devrait ensuite se poursuivre jusqu'en 2014, sur une rythme légèrement inférieur. La BI devrait donc être un des secteurs du marché du logiciel qui progresse le plus rapidement, en dépit du ralentissement économique. « Les organisations continuent leurs projets de BI », explique Ian Bertram, vice- président de Gartner, et ce pour une raison simple, « elles espèrent qu'ils leur permettront de réduire leurs coûts, d'amél...

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  • Près de la moitié des attaques exploitent des failles de Java par défaut de mises à jour, d'après le rapport Security Intelligence de Microsoft

    Près de la moitié des attaques exploitent des failles de Java Par défaut de mises à jour, d'après le rapport Security Intelligence de Microsoft Les exploits contre la sécurité informatique durant la première moitié de 2011 étaient en grande partie associés aux vulnérabilités de la famille de produits Java, la technologie maintenue par Oracle. Le rapport Security Intelligence de Microsoft souligne en effet un record : entre le tiers et la moitié des exploits sont dus à des failles dans l'environnement d'exécution (JRE), la machine virtuelle (JVM) et le JDK. [IMG]http://idelways.developpez.com/news/images/java-exploits.png[/IMG] Oracle ne tarde pas outr...

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  • SAP Visual Intelligence devient SAP Lumira, l'outil de visualisation de données complexes développé en France passe au Cloud et au HTML5

    SAP Visual Intelligence devient SAP Lumira L'outil de visualisation de données complexes développé en France passe au Cloud et au HTML5La solution de « Data Visualization » de SAP vient de changer de nom. Fini donc SAP Visual Intelligence, dîtes désormais SAP Lumira.La nouvelle appellation s'accompagne de quelques nouveautés. En tant que développeur, on remarquera que cette version est en HTML5. En tant qu'utilisateur métier, on retiendra plutôt le temps-réel, l'accélération de la prise de décisions grâce aux réponses factuelles sur les sujets business, ou l'augmentation des données en self-service (pour ne pas encombrer la base de données IT).

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  • Into Orbit (OBIEE 11g Launch)

    - by Darryn.Hinett
    After much anticipation, it appears that OBIEE 11g is about to hit the streets. Join Charles Phillips, President, and Thomas Kurian, Executive Vice President, Product Development, for the launch of the latest release of Oracle's business intelligence software. Be the first to hear about Oracle Business Intelligence Enterprise Edition 11g, the new, industry-leading technology platform for business intelligence, which offers: A powerful end-user experience with rich visualisation, search, and actionable collaboration Advancements in analytics, OLAP, and enterprise reporting, with unmatched performance and scalability Simplified system configuration, life-cycle management, and performance optimisation As well as the keynote and technical general session, break out sessions will cover the following topics: Business Intelligence: From Insight to Action In this session, you will learn about an exciting, industry-first innovation that connects business intelligence directly to your business processes. You can spot an opportunity or issue, and immediately initiate appropriate action directly from your dashboard. Oracle Business Intelligence Enterprise Edition 11g Systems Management and Deployment Learn how you can streamline the process of configuring your system, provisioning users, and monitoring and optimising query performance. Attend this session to hear how new integration with Oracle Enterprise Manager provides unique systems management, superior scalability, and high availability and security benefits, while making upgrades effortless. Extending Business Intelligence Analytics with Online Analytical Processing (OLAP) Learn how you can enhance the analytical power and business value of your BI solution with a unified environment for navigating and querying both OLAP and relational data sources. This session will focus on how Oracle Business Intelligence Enterprise Edition 11g, used with Oracle Essbase, can deliver insight at the speed of thought. Integrated Performance Management If your organisation is using or considering performance management applications such as Oracle's Hyperion Planning and Hyperion Financial Management, you will not want to miss this session. See how you can leverage Oracle's BI solution for accessing performance management applications and performing extended financial reporting and analysis. Visualisation and End-user Experience The latest release of Oracle Business Intelligence provides an unrivaled end user experience, including rich interactive dashboards, a vast range of animated charting options, integrated search, and more. This session will also include a close look at how you can leverage location data to visualise geo-spatial information.

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  • OBIEE 11g 11.1.1.6.11 is Available For BI Enterprise and Exalytics

    - by p.anda
    (in via Ian & Martin) OBIEE 11g 11.1.1.6.11 is Available For BI Enterprise and Exalytics The Business Intelligence Enterprise Edition 11.1.1.6.11 patch set has been released and is available to download from My Oracle Support (https://support.oracle.com).Per the patch readme: This patch set is available for all customers who are using Oracle Business Intelligence Enterprise Edition 11.1.1.6.0, 11.1.1.6.1, 11.1.1.6.2, 11.1.1.6.2 BP1, 11.1.1.6.4, 11.1.1.6.5, 11.1.1.6.6, 11.1.1.6.7, 11.1.1.6.8, 11.1.1.6.9 and 11.1.1.6.10. Oracle Exalytics customers must only install this Oracle Business Intelligence patch set if it is certified for the specific Oracle Exalytics patch or patch set update that they are applying. For more information see Oracle Fusion Middleware Installation and Administration Guide for Oracle Exalytics In-Memory Machine and the Oracle Exalytics certification information. The Oracle Business Intelligence 11.1.1.6.11 patch set is comprised of the following patches: Patch 16747681 - 1 of 7 Oracle Business Intelligence Installer (BIINST)Patch 16747684 - 2 of 7 Oracle Real Time Decisions (RTD)Patch 16747692 - 3 of 7 Oracle Business Intelligence Publisher (BIP)Patch 16747699 - 4 of 7 Oracle Business Intelligence ADF Components (BIADFCOMPS)Patch 16747703 - 5 of 7 Enterprise Performance Management Components Installed from BI Installer 11.1.1.6.x (BIFNDNEPM)Patch 16717325 - 6 of 7 Oracle Business Intelligence: (OBIEE)Patch 16747708 - 7 of 7 Oracle Business Intelligence Platform Client Installers and MapViewer Note: - The Readme files for the above patches describe the bugs fixed in each patch, and any known bugs with the patch.- This patch is cumulative, and therefore, contains all of the fixes included in the earlier 11.1.1.6.2, 11.1.1.6.4, 11.1.1.6.5, 11.1.1.6.6, 11.1.1.6.7, 11.1.1.6.8, 11.1.1.6.9 and 11.1.1.6.10 patch sets.- However, lists of fixes from included patch sets need to be looked up in the respective patches' readme files, and are not included in the above patches' readme files.- The instructions to apply the above patches are identical, and are contained in the readme file for patch 16747681.- Please bear in mind, that the readme states to apply patch 13952743 for JDeveloper, too.

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  • The five steps of business intelligence adoption: where are you?

    - by Red Gate Software BI Tools Team
    When I was in Orlando and New York last month, I spoke to a lot of business intelligence users. What they told me suggested a path of BI adoption. The user’s place on the path depends on the size and sophistication of their organisation. Step 1: A company with a database of customer transactions will often want to examine particular data, like revenue and unit sales over the last period for each product and territory. To do this, they probably use simple SQL queries or stored procedures to produce data on demand. Step 2: The results from step one are saved in an Excel document, so business users can analyse them with filters or pivot tables. Alternatively, SQL Server Reporting Services (SSRS) might be used to generate a report of the SQL query for display on an intranet page. Step 3: If these queries are run frequently, or business users want to explore data from multiple sources more freely, it may become necessary to create a new database structured for analysis rather than CRUD (create, retrieve, update, and delete). For example, data from more than one system — plus external information — may be incorporated into a data warehouse. This can become ‘one source of truth’ for the business’s operational activities. The warehouse will probably have a simple ‘star’ schema, with fact tables representing the measures to be analysed (e.g. unit sales, revenue) and dimension tables defining how this data is aggregated (e.g. by time, region or product). Reports can be generated from the warehouse with Excel, SSRS or other tools. Step 4: Not too long ago, Microsoft introduced an Excel plug-in, PowerPivot, which allows users to bring larger volumes of data into Excel documents and create links between multiple tables.  These BISM Tabular documents can be created by the database owners or other expert Excel users and viewed by anyone with Excel PowerPivot. Sometimes, business users may use PowerPivot to create reports directly from the primary database, bypassing the need for a data warehouse. This can introduce problems when there are misunderstandings of the database structure or no single ‘source of truth’ for key data. Step 5: Steps three or four are often enough to satisfy business intelligence needs, especially if users are sophisticated enough to work with the warehouse in Excel or SSRS. However, sometimes the relationships between data are too complex or the queries which aggregate across periods, regions etc are too slow. In these cases, it can be necessary to formalise how the data is analysed and pre-build some of the aggregations. To do this, a business intelligence professional will typically use SQL Server Analysis Services (SSAS) to create a multidimensional model — or “cube” — that more simply represents key measures and aggregates them across specified dimensions. Step five is where our tool, SSAS Compare, becomes useful, as it helps review and deploy changes from development to production. For us at Red Gate, the primary value of SSAS Compare is to establish a dialog with BI users, so we can develop a portfolio of products that support creation and deployment across a range of report and model types. For example, PowerPivot and the new BISM Tabular model create a potential customer base for tools that extend beyond BI professionals. We’re interested in learning where people are in this story, so we’ve created a six-question survey to find out. Whether you’re at step one or step five, we’d love to know how you use BI so we can decide how to build tools that solve your problems. So if you have a sixty seconds to spare, tell us on the survey!

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  • Is it theoretically possible to emulate a human brain on a computer?

    - by JoelK
    Our brain consists of billions of neurons which basically work with all the incoming data from our senses, handle our consciousness, emotions and creativity as well as our hormone system, etc. So I'm completely new to this topic but doesn't each neuron have a fixed function? E.g.: If a signal of strength x enters, if the last signal was x ms ago, redirect it. From what I've learned in biology about our nerves system which includes our brain because both consist of simple neurons, it seems to me as our brain is one big, complicated computer. Maybe so complicated that things such as intelligence and cognition become possible? As the most complicated things about a neuron pretty much are the chemical aspects on generating an electric singal, keeping itself alive, and eventually segmenting itself, it should be pretty easy emulating some on a computer, or? You won't have to worry about keeping your virtual neuron alive, or? If you can emulate a single neuron on a computer, which shouldn't be too hard, could you theoretically emulate more than 1000 billions of them, recreating intelligence, cognition and maybe even creativity? In my question I'm leaving out the following aspects: Speed of our current (super) computers Actually writing a program for emulating neurons I don't know much about this topic, please tell me if I got anything wrong :) (My secret goal: Make a copy of my brain and store it on some 10 million TB HDD and make someone start it up in the future)

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  • OBIEE version 11.1.1.7.131017 has been released

    - by inowodwo
    The Business Intelligence Enterprise Edition 11.1.1.7.131017 patch set has been released, and is available to download from My Oracle Support (https:\\support.oracle.com). Per the patch readme: This patch set is available for all customers who are using Oracle Business Intelligence Enterprise Edition 11.1.1.7.0 and 11.1.1.7.1. It is also available for Exalytics customers who have applied the Exalytics PS3 patch. Patch 17530796 - OBIEE BUNDLE PATCH 11.1.1.7.131017 (Patch) is comprised of the following patches, which are not available separately:     Patch 16913445 - Patch 11.1.1.7.131017 (1 of 8) Oracle Business Intelligence Installer (BIINST)     Patch 17463314 - Patch 11.1.1.7.131017 (2 of 8) Oracle Business Intelligence Publisher (BIP)     Patch 17300417 - Patch 11.1.1.7.131017 (3 of 8) Enterprise Performance Management Components Installed from BI Installer 11.1.1.7.0 (BIFNDNEPM))     Patch 17463395 - Patch 11.1.1.7.131017 (4 of 8) Oracle Business Intelligence Server (BIS)     Patch 17463376 - Patch 11.1.1.7.131017 (5 of 8) Oracle Business Intelligence Presentation Services (BIPS)     Patch 17300045 - Patch 11.1.1.7.131017 (6 of 8) Oracle Business Intelligence Presentation Services (BIPS)     Patch 16997936 - Patch 11.1.1.7.131017 (7 of 8) Oracle Business Intelligence Presentation Services (BIPS)     Patch 17463403 - Patch 11.1.1.7.131017 (8 of 8) Oracle Business Intelligence Platform Client Installers and MapViewer Also you must download: Patch 16569379 - Dynamic Monitoring Service patch The instructions to apply the bundle patch are given in the patch readme along with some important notes if you are upgrading from 11.1.1.6.x versions. The new functionality in this patch includes:     Support for Microsoft Internet Explorer 10     Support for Oracle BI Mobile App Designer     Support for improved exporting functionality into Microsoft Excel For more information please refer to document: OBIEE 11g 11.1.1.7.131017 is Available for Oracle Business Intelligence Enterprise Edition and Exalytics (Doc ID 1595219.1) In addition we strongly recommend you review this document: OBIEE Suite Bundle Patches (Doc ID 1591422.1), which explains the new naming convention, the strategy behind bundle patches and other interesting facts about OBIEE patching. Please take some time to review it.

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  • IBM enrichit sa solution de Business Intelligence Cognos Express avec Planner un nouvel outil de planification pour les PME

    IBM enrichit sa solution de Business Intelligence Cognos Express Avec Planner un nouvel outil de planification pour les PME IBM vient de lancer « Planner », un nouveau module pour sa solution d'analyse et d'informatique décisionnelle « Cognos Express ». Le module est spécialement conçu pour répondre aux besoins des moyennes entreprises. IBM Cognos Express Planner devrait offrir une démarche structurée de planification, facile à déployer et à utiliser qui permet aux utilisateurs de réagir rapidement aux conditions changeantes du marché. D'après IBM, l'interface utilisateur de Planner, simplifiée, devrait permettre aux financiers et aux non-financiers de collaborer en...

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  • The changing shape of the Business Intelligence marketplace: Applications vs. Platforms

    - by GavinPayneUK
    I recently read the latest Gartner Magic Quadrant for Business Intelligence ( link ) which put Microsoft as a leader.  However, what was more interesting for me than Microsoft’s success was how as an industry we see BI as a single marketplace, business requirement and vision, despite in my view it now being two separate areas: BI applications and BI platforms . As this article will discuss in more depth we now have two communities with differing requirements, our IT departments and our business...(read more)

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