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The IBM Cloud, information and AI design team is worked up to publish that IBM Cognos Analytics has been named a winner in the 2019 mountainous company Innovation Award. here is thrilling information for their team as IBM Cognos Analytics is considered one of their most multifaceted items, with many designers and teams working on full facets it. they are honored to gain this award note off this challenge, and the difficult travail their team has accomplished on it.what is IBM Cognos Analytics?
IBM Cognos Analytics is an AI-powered facts exploration and presentation implement that enhances the workflow of enterprise users. The device contains the potential to create compelling visualizations and dashboards, upshot AI-powered choices for information evaluation, and scale the facts analytics manner at the degree that a company demands.IBM Cognos comprises an AI lieutenant (left), and a detail Panel (appropriate), to uphold interpret the chart being viewed. The lieutenant helps herbal language exploration, whereas the detail Panel provides additional system-generated plain-language suggestions to multiply the chart. discover reduces the guesswork associated with facts exploration with the aid of surfacing the strongest relationships to your information, which is displayed within the community chart, and providing counseled birth points for more facts exploration, that are proven within the thumbnails.
The AI-powered toolset in IBM Cognos Analytics enhances clients’ skill to find the absolute best insights from their information. The toolset includes improvements fondness a herbal language based virtual assistant, as well as an information exploration implement that finds relationships inside information and suggests statistics visualizations. These potent statistics tools enable company users to find greater information from their facts and simply pinpoint deeper, underlying traits that can moreover otherwise require a stronger stage records skilled to decipher.Storytelling facets in IBM Cognos Analytics present the skill to imagine and screen statistics with specific and fascinating visuals.
The presentation tackle in IBM Cognos Analytics tender complicated and visually engaging records visualizations, enabling clients to communicate the ideas at the back of their data in inventive and compelling techniques. The application comprises tools to create designated charts and graphs as well as movement images, helping so as to add a account component to the way the records is displayed. These wonderful experiences permit the consumer to talk their insights in a extra creative means, reduce person interpretation mistakes, and divulge the account behind their facts in region of just sharing floor degree information.
“IBM Cognos Analytics become full the time a superb reporting and dashboarding device. What made the most recent unlock the sort of bounce ahead became the introduction of predictive analytics, AI and a entire new means of exploring facts and discovering patterns and relationships the clients didn’t recognize existed. What i admire about it is that Cognos does so a entire lot of the heavy lifting when it comes to analytics and start-frogs you to the answers you necessity most.” — Anne Stevens, Design Lead
A win for design is a win for businessIBM Cognos Analytics being diagnosed by a company award shows just how a entire lot design can deliver expense to the locality of business. Their group’s center of attention on terrific user experiences and consumer analysis pushed design of this product, demonstrates that design strategy and execution concerns for enterprise consequences. I’m excited to peer design continue to gain an gain an upshot on on their application items and descry the wider implications this has for their users, customers and partners.
concerning the mountainous trade Innovation AwardsThe enterprise Intelligence neighborhood turned into based with the mission of recognizing actual talent and advanced efficiency within the enterprise world. These awards are judged through enterprise executives with gigantic journey and potential. The company’s exciting scoring device selectively measures performance across distinctive enterprise domains and rewards these groups whose achievements definitely stand out.
Congrats to the IBM Cognos Analytics team for your entire tough travail and accomplishments.
On Monday IBM will publish its latest set of express expertise offerings for the midmarket, by way of the channel, with the biggest center of attention on enterprise intelligence. in line with the research facts, together with the gigantic CIO resolve outcomes huge Blue released final week, BI is scorching.
"CIOs are investing in trade analytics capabilities to uphold them multiply resolution-making in any respect tiers," observed Pat Toole, CIO of IBM. "in addition, in this difficult economic climate, CIOs needless to utter analytics may moreover subsist key to new multiply markets, no matter if or not it's new the way to manage a utility grid or smarter healthcare methods. Managing and leveraging new intelligence via analytics is some thing that trendy CIO is pursuing to profit aggressive knowledge in these new markets."
based on IBM, the customary trade analytics market turned into value $fifty nine billion in 2008. IDC puts the BI tackle market at $7.8 billion in 2008, turning out to subsist 10.6 p.c, with SAP (20.4%), SAS (11.three%) and IBM (10.three%) conserving the precise three positions. Combining analytic functions and efficiency administration software in conjunction with BI platform salary, Gartner rescue ultimate year's market at $8.eight billion, up 21.7 % from 2007. in response to its rankings, IBM and Oracle swapped positions, with Oracle piteous up to third place.
IBM Cognos specific is an all-in-one company intelligence and planning solution developed and priced for midsized customers that carries three items -- IBM Cognos categorical Reporter, Xcelerator and advisor -- available to buy collectively or in my view. Reporter lets clients securely access any class of data to create specific financial, operational, transactional creation experiences and ad hoc queries the usage of fundamental drag and drop authoring capabilities Xcelerator helps seriously change spreadsheets with an underlying in-reminiscence analytics engine for real-time multidimensional analysis, planning, budgeting and forecasting. consultant offers sophisticated evaluation and 'what if' situation planning for lengthy and short-term efficiency forecasting; key metrics can then subsist shared the consume of live dashboards
Designed to subsist deployed in just hours, the solution provides pre-configured BI and planning capabilities in a solitary providing that simply plugs into an organization's current infrastructure. It additionally offers a centralized, internet-based mostly console that manages full administrative facets of setting up, deployment and ongoing management, minimizing the want for any IT staff counsel.
The midsize enterprise (a hundred-999 employees) BI probability is large, stated Caroline Seymour, enterprise unit government, IBM Cognos midmarket strategy. It accounts for sixty five percent of global GDP, but of the 630,000-plus businesses that upshot up this section, only a 3rd gain deployed BI. It is this contradiction -- most descry BI as crucial however gain finished nothing about it -- that IBM hopes to upshot the most with the Cognos specific providing.
Seymour referred to the leading inhibitors gain been prices and budgets, aid constraints, including capabilities and experience, the current infrastructure, and considerations round minimizing the disruption to the business.
"a lot of companies gain items of the options but what has not been attainable to midsize agencies is the interconnection of capabilities that are obligatory." So IBM designed its respond around three criteria: east to deploy, convenient to consume and simple to purchase. "And it subsist the admixture of the three that makes it in reality enjoyable. It comes preconfigured, so it requires no meeting and has everything you want."
besides the three design criteria, there may subsist an extra a must gain point, she mentioned. "it subsist essential to midsize agencies that they find that quick win. BI nevertheless an unknown volume."
it is why IBM took a modular strategy to midmarket BI. "You accomplish not necessity to purchase every thing directly, so you gain a low entry factor. So it subsist a low-chance option that allows businesses to birth small, birth anywhere but allows them to expand."
The Cognos ally neighborhood, simply under four hundred agencies, should subsist the preliminary channel flag bearers for the providing, spoke of Seymour, however the relaxation of IBM's channel can subsist introduced as much as pace as immediately as viable. IBM's 1,000-plus telemarketing neighborhood can subsist producing leads for the channel. companions can qualify to sell the solution via taking a 5-day direction, she talked about.
massive Blue should subsist internet hosting an IBM Cognos categorical digital Launch suffer on Tuesday September 29, from 9:forty five am four pm jap, that includes demonstrations and technical overviews on BI and analytics, as well as an Expo locality and Communications Lounge where contributors can chat reside with IBM representatives and company companions. To register, paddle to http://www.ibm.com/cognos/cognos-specific.
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For a very long time now, users were asking what huge Blue plans on doing with the entire acquisitions in enterprise intelligence and analytics locality (news, site) it made.
The release of Cognos 10, which combines gregarious networking, collaboration, analytics and pursuits cellular people, goes some way to answering that.
Pushed by way of the multiply of mobile transactions and estimates that the cellular cadaver of workers will globally gain 1.19 billion by using 2013, IBM has mixed the know-how of Cognos, a corporation they obtained in 2007, with Lotus Connections, launched in 2007 at Lotusphere, and is presently in edition 2.5.
added to full it truly is the statistical engine, which IBM purchased full the way through the SPSS acquisition in 2009, which allows users to embed algorithms into their reviews from IBM's SPSS application.IBM and Analytics
IBM is moreover releasing a few other complimentary application packages which will birth realizing the enterprise intelligence ambitions that the trade outlined when it bought Cognos full these years in the past. The different new applications consist of:
The launch of Cognos 10 is so massive in IBM’s trade intelligence mode that it is hailing the unlock as “the most giant analytics offering because the acquisition of Cognos . . .” Taking a step again in time, when IBM bought Cognos it introduced that within the trade they noticed the future of trade intelligence. They underlined that vision with the us$ 5bn IBM paid for the business.
business intelligence refers back to the taking pictures, integration and presentation of tips. efficiency administration is using guidance to examine the efficiency of trade sectors, divisions, product strains and everything else which can moreover subsist boiled down into numbers.
the integration of those two domains ensures a clearer image of where the firm in reality stands, eradicating plenty of the unsafe statistics and counsel, which is certain to warp the key resolution-makers vision. and that's the reason what Cognos 10 does -- it gives the tackle for conclusion uphold and reporting tools, as well as full the common commercial enterprise bells and whistles.IBM, Lotus Connection and Cognos
Add to this Lotus Connection, which brings with it gregarious collaboration, and moreover you find some thought of what IBM is launching here.
simply to refresh your minds, IBM Lotus Connections is a gregarious software for enterprise. It empowers trade authorities to enhance, nurture, and remain in contact with a network of their colleagues and reply promptly to trade opportunities. Future enhancements encompass:
combine Lotus Connections software with Cognos’s enterprise analytics and one unified adventure with intuitive navigation capabilities and simplified consumer journey seems.IBM, SPSS and Analytics
The other main factor during this liberate comes from the combination of IBM’s SPSS Modeler, which IBM bought in a further acquisition, with the BI environment. Now portion of Cognos' record-authoring capabilities, it makes it viable for clients to profit insights from historical information. With it, they could convey predictive indications into dashboards to convey forward-searching perception involving chance, profitability and different situations.
the brand new free up moves from tolerable formats of stories and charts, now helping constructed-in images and movies that are interactive and provide broader evaluation in a multifarious layout that can moreover subsist accessed on most cellular contraptions. With the delivered analytics capabilities, clients can moreover examine counsel from basic, real-time information to superior, predictive “what if” analysis.
briefly, the unlock gives enterprise users not simply with suggestions about what's happening to their trade or products within the existing, it moreover integrates what has came about during the past, featuring an extrapolated version of what is going to occur sooner or later. Then, in the course of the gregarious collaboration element, it shares the guidance with whoever needs it, each time they necessity it, and through mobile aid, where ever they necessity it.
the consume of interfaces taken from conventional Cognos environments, users can engage with each and every other in precise time communities, wikis and blogs, submit files and stories, faucet into resolution networks, and any other collaborative feature essential to pass suggestions to users who want it.
over the past five years, IBM has invested more than US$ 14 billion in 24 analytics acquisitions. announced at the recommendation on demand conference in Las Vegas, IBM talked about Cognos 10 may subsist obtainable as of subsequent week when clients could subsist able to descry where full that obtained firepower has been used.
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IBM’s Information on demand conference last week took over the fifth-largest conference venue in the country at the Mandalay Bay and refer Convention center in Las Vegas. During the keynote at the finish of day one, IBM demonstrated its Cognos portfolio, a family of products that helped IBM merit a ranking of sweltering in our 2012 trade Intelligence Value Index.
IBM’s Information on demand conference last week took over the fifth-largest conference venue in the country at the Mandalay Bay and refer Convention center in Las Vegas. During the keynote at the finish of day one, IBM demonstrated its Cognos portfolio, a family of products that helped IBM merit a ranking of sweltering in our 2012 trade Intelligence Value Index.
A relatively new addition to the portfolio is Cognos Insight, a personal desktop approach to exploratory analysis. While an early edition of Cognos Insights had a few challenges, the current release, Cognos Insight 10.2, is an improvement. Exploratory analysis tools fondness Cognos Insight are gaining momentum with trade users because they generally accomplish not require IT uphold and they allow finish users to visualize descriptive data and accomplish root-cause analysis in an iterative, user-friendly manner.
The latest version of the implement is offered in more than 20 languages and incorporates key features to uphold trade users expedite their analytical processes. Once users load data into the environment by dragging and dropping an .xls or .csv file, the software uses an smart metadata approach to process information hierarchies. For example, Insight would recognize a one-to-many relationship between customer ID and segment so the user would not gain to pre-model the data. This metadata approach moreover allows for rollups into time frames such as month, quarter or year.
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What makes Cognos Insight particularly racy is its writeback capability, which allows users to perform ad-hoc scenario planning and what-if analysis and return the result to a central data store where it can subsist shared with others. What-if analysis can accomplish things such as explore the impact of expense elasticity to find an optimal expense point that drives customer retention, or determine the impact of some proposed capital expenditure on production capacity. Cognos’ approach differs from desktop spreadsheet modeling in that information visualization is an integral portion of data input and output. Moreover, Cognos Insight, when coupled with IBM’s Cognos TM1 trade Performance Management application, provides a distributed and integrated planning interface. This integration gives companies more reasons to rescue aside desktop spreadsheets for enterprise planning. Ventana Research’s benchmarks, such as their recently completed Integrated trade Planning Benchmark, consistently note that dedicated planning applications enable companies to aim and budget more accurately, in portion because they upshot information created by individual planning silos more accessible and easier to aggregate into an enterprise-wide view.
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Insight users collaborate by saving self-contained files to the desktop and emailing them to colleagues. If a report is determined to subsist worthy of publication into a more formal library, users can accomplish so through tools such as Cognos Express, a departmental and midsized company solution, or through Cognos Enterprise, a multi-departmental company solution. Here lies another key differentiator for the Cognos suite of products: It provides a process that allows for user-driven report creation and collaboration, yet moreover includes a centrally governed trade intelligence environment.
IBM sees Cognos Insight both as an entry point for trade users to accomplish exploratory analysis and a way to accomplish analytical crowdsourcing within an organization. However, given its write-back capabilities, its integration with SPSS which I recently wrote about and IBM’s conclusion systems, there is much more to this story. In a future blog entry, I aim to explore the broader Cognos portfolio with an eye to framing the larger IBM analytics approach, including how the Cognos family ties into mountainous data and decision-making in an organization. In the meantime, I cheer you to download a free copy of Cognos Insights from IBM’s analytics community site, www.analyticszone.com.
VP and Research Director
Data Warehouse Concepts
What is a Data Warehouse?
A warehouse in common terms is a repository where they store their information. Coming to the data warehouse, it is a collection of data organized in a specific manner and categorized information.
A data warehouse stores historical data of an organization so that they can resolve their performance over the past years and aim for the future.
The favorite definition of the data warehouse by WH Inmon:
A data warehouse is:
Another definition from Ralph Kimball is more precise:
A data warehouse is a copy of transaction data specifically structured for query and analysis.
What is a Data mart?
A data mart is a subset of a data warehouse. Suppose they gain an organization established in many different locations and each location maintains a data warehouse which they convene it as data mart because a warehouse will gain full the data integrated and as far as data mart is considered it will subsist a portion of the data warehouse.
What are uses of having a Data Warehouse?
A Data Warehouse, in general, is used to resolve trends over a term of time and enhances the conclusion making of an organization. Once the data is loaded into the warehouse will subsist creating an OLAP cube or directly consume the data to resolve trends. Basing on which the top plane management will approach their future trade strategies.
Data warehouse Architecture
We will multiple sources there full the operational data will subsist stored. Some may store them in flat files and some in databases. They will gain to read full the sources and perform ETL (Extract, Transform and Load operations) which will subsist used to integrate data from these sources and transform them into one unique structure and then load into their target data warehouse.
Data Warehouse Architecture
There are 2 approaches in designing your data warehouse. First one is “Top-Down approach” and second is “Bottom-up approach”.
Top — Down Approach: The above image shows the top-down approach, where they are reading data from multiple sources and transforming the data and loading into your warehouse, then on top of that they are creating their data marts.
Bottom-up Approach: The antithetical of the above approach is this. Here they will subsist creating data marts first and then they will create their data ware house on top of full the data marts.
Data Warehouse Terms
The schema is a analytic arrangement of tables in a data warehouse. They gain schemas in relational databases. Very much fondness same Data warehouse has schema’s namely Star schema, Snowflake schema, and Fact-Constellation.Star Schema
In this analytic arrangement of tables, the fact table will subsist at the center of the schema surrounded by multiple dimension tables. Fact and dimension tables are linked via a Primary — Foreign Key relationship. Fact table will subsist having foreign keys of full the Dimension tables along with the facts whereas a Dimension table will subsist having attributes which portray the Dimension.Snowflake Schema:
In this analytic arrangement of tables, they gain dimension tables connected to other dimension tables which in spin are connected to fact table via a primary-foreign key relationship. Else they can utter that the Dimension tables in Snowflake schema are normalized. Because of the normalization, the data redundancy will subsist reduced and a lot of storage space is saved.Fact Constellation Schema:
A fact constellation schema, unlike the start or snowflake, will gain multiple fact tables. It is moreover called as Galaxy Schema.Star Schema Example
In this schema shown, a fact table (sales) is connected to multiple dimension tables item, location, time and branch. Each dimension table has attributes describing the dimension and fact table has the foreign key of full dimension tables along with facts fondness dollars_sold and units sold.Snowflake Schema Example:
In this schema, a fact table (sales) is connected to multiple dimensions, whereas the dimensions detail and location are again connected to City and Supplier dimension respectively.Fact Constellation schema Example:
In this schema, they can find two fact table Sales and Shipping connecting with each other and are again connected to multiple dimension tables individually.
Now they are jumping into the actual topic “Cognos trade Intelligence”.Overall DWH architecture
We will subsist dealing with Cognos reporting implement and Cognos Metadata managing implement and other useful tools that Cognos BI has.
Let’s paddle through where BI will actually arrive into picture
The below image shows overall Data warehouse Architecture. From data load to using the data loaded into the tables for enhancing the trade of your organization. From full the data sources (may it subsist Operational databases, Flat files etc.) they load the data into data warehouse through different ETL process and creating cubes and using the data for mining purpose.
The below device will portray the trade Intelligence rush how the data will subsist used for trade optimization. trade intelligence is a process from where you will subsist able to derive methods to enhance your trade with the data that you have. Using BI one will subsist able to behold at their data at different levels and will subsist able to upshot decisions to upshot their trade better.
Cognos BI will subsist used to generate reports (list, crosstab, and charts). The below device will note you the entire rush that happens with Cognos.
The first step in using Cognos BI is to congregate requirements. This is viable when you understand your trade structure and the data that drives your business. Once the requirement is finalized the next step is to create your framework metadata model. You can pick either to you star schema or snowflake schema or you can consume the existing relational model.
After this step is done with they gain to publish the model that they gain created. Publishing the model will upshot your metadata model available for reporting purpose. Once your model is published, they can consume the model to create different types of reports as per your requirement and they will schedule the reports basing your requirement.
Different Versions of Cognos
Cognos ReportNet (CRN) is a web-based software product for creating and managing ad-hoc and custom-made reports. ReportNet is developed by the Ottawa-based company Cognos (formerly Cognos Incorporated), an IBM company. The web-based reporting implement was launched in September 2003. Since IBM’s acquisition of Cognos, ReportNet has been renamed IBM Cognos ReportNet fondness full other Cognos products.
IBM Cognos 8 BI, initially launched in September 2005, combined the features of several previous products, including ReportNet, PowerPlay, Metrics Manager. There are moreover Express and Extended versions of Cognos 8 BI. full features:
We can descry different components and how they are fitting in. The top most layer, where they can descry Cognos Connection, Administrator, trade Insight and different studios. They full are web-based and end-user needs not to install any client side software if he has the latest web browser installed.
The bottom layer is basically data layer where you may gain homogeneous or heterogeneous database systems. Data may subsist relational or multi-dimensional. On top of it, they can descry three modeling tools there — Framework Manager, Transformer, and Metric Designer. full of them are client based installation.
We’ll maintain the rush of components from top to bottom as shown in below BI components figure.
Before getting into the actual topics about how you create the model, deploy it and consume it to create reports they gain to first know the architecture of Cognos.
Cognos trade Intelligence framework is 3- tier architecture. The first tier of the architecture will subsist having the Web server which is responsible for the accessing the user interfaces. The second tier will subsist having IBM Cognos BI Server which will subsist having gateways and dispatchers to route requests from different UI’s to Database and communicate back to the server.
The Third Tier will gain the data sources. You can gain multiple data sources and they will connect to the Cognos server using JDBC or API’s.
The Below device shows the architecture of Cognos BI:
In the data tier, you can descry one more component called the “Content Store” which is a repository for the Cognos server. Whenever you rescue any objects reports, models everything the data is stored in Content Store database which once you reopen or reuse the existing expostulate created will fetch the data from the Content Store. full this travail will subsist performed by the “Content Manager”.
Content Manager: The content manager is responsible for connecting with the Content Store database and saving any report or model back to the Content Store.
Dispatcher: The job of dispatchers is to route requests sent from and to the Web UI/Windows based components.
Web-based and Windows Based components of Cognos
Cognos BI has two types of components,
1. Web-Based components.
2. Window based components.
Web-based components includes
The day before the official announcement of IBM’s Case Manager product, Jake Levirne, Senior Product Manager, walked us through the capabilities. He started by defining case management, and discussing how it is about providing context to enable better outcomes rather than prescribing the exact mode for achieving that outcome. For those of you who gain been following ACM for a while, this wasn’t anything new, although I’m imagining that it is for some of the audience here at IOD.
Case Manager is an extension of the core (FileNet) ECM product through the integration of functionality from several other software products across multiple IBM software groups, specifically analytics, rules and collaboration. There is a new design implement targeted at trade analysts, and a user interface environment that is the next generation of the ragged ECM widgets. There’s a new case expostulate model in the repository, allowing the case construct to exist purely in the content repository, and subsist managed using the full sweep of content management capabilities including records management. Case tasks can subsist triggered by a number of different event types: user actions, new content, or updates to the case metadata. By having tasks as objects within the case, each chore can then correspond to a structured subprocess in FileNet BPM, or just subsist portion of a checklist of actions to subsist completed by the case worker (further discussion left it unclear whether even the simple checklist tasks were implemented as a single-step BPM workflow). A chore can moreover convene a WebSphere Process Server task; in fact, from what I recall of how the Content Manager objects work, you can convene pretty much anything if you want to write a Java wrapper around it, or possibly this is done by triggering a BPM process that in spin calls a web service. The case context – a collection of full related metadata, tasks, content, comments, participants and other information associated with the case – is available to any case worker, giving them a complete view of the history and the current status of the case. Some collaboration features are built in to the runtime, including presence and synchronous chat, as well as simple asynchronous commenting; these collaborations are captured as portion of the case context.
As you would expect, cases are dynamic and allow case workers to add new tasks for the case at any time. trade rules, although they may not even subsist visible to the finish user, can subsist defined during design time in order to set properties and trigger events in the case. Rules can subsist changed at runtime, although they didn’t descry an illustration of how that would subsist done or why it might subsist necessary.
There are two perspectives in the Case Manager Builder design environment: a simplified view for the trade analysts to define the towering plane view of the case, and a more detailed view for the technologists to build in more tangled integrations and tangled conclusion logic. This environment allows for either start-from-scratch or template-based case solution definitions, and is targeted at the trade analyst with a wizard-based interface. Creating a case solution includes defining the following from the trade analyst’s view:
All of these can subsist defined on an ad hoc basis, or stubbed out initially using a wizard interface that walks the trade analyst through and prompts for which of these things needs to subsist included in the case solution. Comments can subsist added on the objects during design time, such as tasks, allowing for collaboration between designers.
As was made pellucid in an audience question, the design that a trade analyst is doing will actually create expostulate classes in both Content Manager and BPM; this is not a requirements definition that then needs to subsist coded by a developer. From that standpoint, you’ll necessity to subsist positive that you don’t let them accomplish this in your production environment since you may want to gain someone ensure that the expostulate definitions aren’t going to antecedent performance problems (that seemed screamingly obvious to me, but maybe wasn’t to the person asking the question).
From what Levirne said, it sounds as if the simple step editor view of the chore process can then subsist opened in the BPM Process Designer by someone more technical to add other information, implying that every chore does gain a BPM process behind it. It’s not pellucid if this is an import/export to Process Designer, or just two perspectives on the same model, or if a chore always generates a BPM process or if it can exist without one, e.g., as a simple checklist item. There were a lot of questions during the session and he didn’t gain time to pick them all, but I’m hoping for a more in-depth demo/briefing in the weeks to come.
Case analytics, including both dashboards (Cognos BAM) and reports (Excel and Cognos BI reports) based on case metadata, and more tangled analytics based on the actual content (Content Analytics), are provided to allow you to review operational performance and determine root causes of inefficiencies. From a licensing standpoint, you would necessity a Cognos BI license to consume that for reporting, and a limited-license Content Analytics version is included out of the box that can only subsist used for analyzing cases, not full your content. He didn’t cover much about the analytics in this session, it was primarily focused on the design time and runtime of the case management itself.
The end-user suffer for Case Manager is in the IBM Mashup Center, a mashup/widget environment that allows the inclusion of both IBM’s widgets and any other that uphold the iWidget benchmark and expose their properties via comfort APIs. IBM has had the FileNet ECM widgets available for a while to provide some benchmark ECM and BPM capabilities; the new version provides much more functionality to comprehend more of the case context including metadata and tasks. A benchmark case widget provides access to the summary, documents, activities and history views of the case, and can link to a case data widget, a document viewer widget for any given document related to the case, and e-forms for creating more tangled user interfaces for presenting and entering data as portion of the case.
Someone I know who has worked with FileNet for years commented that Case Manager looks a lot fondness the integrated demos that they’ve been edifice for a yoke of years now; although there’s some new functionality here and the entire thing is presented as a elegant package, it’s likely that you could gain done most of this on your own already if you were expert with FileNet ECM and some of the other products involved.
We moreover heard from Brian Benoit of Pyramid Solutions, a long-time FileNet ally who has been an early adopter of Case Manager and responsible for edifice some of the early templates that will subsist available when the product is released. He demonstrated a financial account management template, including account opening, account maintenance, financial transaction requests and correspondence handling. In spite of IBM’s pretense that there is no migration path from trade Process Framework (BPF), there is a very BPF-like nature to this application; clearly, the case management suffer that they gained from BPF usage has shaped the creation of Case Manager, or possibly Pyramid was so chummy with BPF that they built something similar to what they knew already. Benoit said that the same functionality could subsist built out of the box with Case Manager, but that what they gain provided is an accelerator for this sort of application.
Levirne assured me that everything in his presentation could subsist published immediately, although I’ve had analyst briefings on Case Manager that are under embargo until the official announcement tomorrow so I’ll give any of the missing details then.Post Views: 941 Related
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