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While conducting prospecting activities, a sales representative is speaking to a chief customer officer at a software company about IBM Cognos Business Intelligence. Which question would be effective in uncovering business problems that IBM Cognos Business Intelligence could solve?
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What is required to set up a standard IBM Cognos Express environment?
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Which is an example of a post-sale best practice when it comes to continued development of the customer relationship?
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Provide the customer's contact information to other colleagues to allow them to prospect into the account.
Offer quarterly or annual Business Intelligence Health Check.
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IBM Cognos Express is a perfect solution for his needs, but it does not integrate with Oracle.
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M2090-626 Test Information / Examination Information
Number of questions : 45 Time allowed in minutes: 75 Required passing score : 75% Languages : English
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The superior records Visualization tools for 2019 | M2090-626 Real Questions and VCE Practice Test
Best Data Visualization Tools
the place enterprise intelligence (BI) equipment can take large swaths of data and parse that into digestible statistics elements, statistics visualization is the presentation element of that equation. consider of it as the pie chart feature of your favourite spreadsheet, only a good deal greater powerful. The goal of such imagery is to right now transfer tips from the desktop to the human mind, no longer most effective efficiently but additionally within the most meaningful method possible. therefore, it is not the cultured value of a visualization that counts but the readability of the message it conveys.
despite the fact, the conciseness integral for clarity does not preclude complexity in the message. due to the fact an awful lot of the assistance people need to eat is complex and nuanced, data visualizations are configured by myself and in agencies to tell a bigger story via pictures. An illustration of a single configuration is any visualization that reveals greater granular or connected assistance when the viewer clicks on or performs a mouseover on a bit of the illustration. Examples of neighborhood visualizations consist of pretty much every BI app dashboard ever made.
indeed, records visualization is such an essential component of self-provider BI equipment that the tools to make and publish them mostly share average characteristic sets. As anticipated, in our recent evaluation roundup of the most useful self-provider BI items, we discovered the massive majority to be capable of statistics visualization operations.
although, valued clientele seeking to truly exploit facts visualization should analyze these tools cautiously and completely through that lens earlier than making a buying determination. in any case, sometimes the appropriate tool to parse your records may now not present a satisfactory visualization palette on your needs. as an example, you may additionally need the means to construct a custom infographic or create interactive visualizations, however not all BI apps provide those alternatives. You may need to invest in a mix of tools to get both the analytics and the visualization equipment you need.
what is facts Visualization?
in brief, facts visualization is a visual depiction of counsel. it is imagery dedicated solely to messaging or providing tips. data visualization tools can automatically create visualizations, enable you to create your personal, or offer each capabilities.
at the reduce conclusion are less demanding and even free statistics visualization tools dedicated to building infographics as opposed to performing sophisticated information analytics. Some of these equipment encompass Tableau Gallery and even Microsoft power BI. In January 2018, Tableau brought a brand new data engine referred to as Hyper that the enterprise claims offers clients as much as five instances quicker querying pace over outdated models. meanwhile, in July 2018, Microsoft rolled out new features for Microsoft energy BI, corresponding to integration of massive facts without delay into the vigor BI internet carrier.
at the higher end are equipment that can exchange visualizations on the fly, within the equal means that outputs from subtle algorithms exchange after repeated direct querying of precise-time data (i.e., streaming statistics) and across assorted data sources. The equipment occupying the middle of the spectrum don't symbolize actual-time records but still produce visualizations from superior analytics outputs.
Source: Christopher Ratcliff, econsultancy.com supply: Christopher Ratcliff, econsultancy.com
The self-carrier BI apps we reviewed comprise average to bigger-end visualization tools. one of the vital equipment contain strong natural language query capabilities like Sisense, and others convey precise-time analytics for the web of things (IoT), like SAP Analytics Cloud. briefly, you cannot judge the nice of the underlying analytics engine by means of the cover of its paintings equipment. Some very potent analytics come with pitiful to passing visualization capabilities. Conversely, some pitiful to passing analytics include some pretty awesome visualization points.
on the grounds that we at the start reviewed these BI tools, IBM has discontinued offering IBM Watson Analytics for buy. as an alternative, IBM delivered Cognos Analytics eleven.1, which offers guided facts discovery, automatic predictive analytics, and the capability to engage with statistics conversationally.
there's a wide array of paintings depictions that information visualization equipment can create. Some depictions are fundamental, some are complicated. Some are eye-catching, some are crude. And there are some that are truly individual creations. but most spring from templates within the natural types associated with statistics.
The least difficult examples of records visualization are the pie and bar charts you could have been able to entry by the use of Microsoft Excel for a long time now. however as BI has matured as a platform, so, too, have the options available to you for seeing your records and offering it to others.
The tools we overview here replicate the medium to better conclusion of the spectrum in BI; they're in a position to performing refined queries devoid of the deserve to take note Structured query Language (SQL) coding. Plus, they can render analytics in a wide selection of visible formats—going far beyond the simple bar chart to include geographical mapping, warmth maps, sparklines, and even more specialized visualizations such as the spider chart beneath.
Source: Lachlan James, Yellowfinbi.com source: Lachlan James, yellowfinbi.com
information visualization isn't a new thought. Pie charts and bar and line graphs have existed all through the ages. What's modified are the varieties and size of statistics that may also be represented this way, and the numerous more refined methods during which you could show it and share it.
The value of the Dashboard
ultimately, information visualization capabilities are used to build dashboards. occasionally the dashboard represents a single, facts-based mostly story it really is giant to many viewers. Or the dashboard can also comprise many stories for the benefit of a single person. Dashboards sometimes come with visualizations which are preset and stuck in region. other instances the dashboard's visualizations include a lot of reveal alternatives or images that are customizable. Sharing can regularly be custom-made too, equivalent to according to permissions, per enterprise line, per job position pertinence, and even by very own preferences. after all, the dashboard customarily includes two or more records visualizations supposed to notify and often even instant a company motion or determination.
Source: Mailchimp blog supply: Mailchimp blog
in advance of the advent of self-service BI tools, executives needed to existing their questions to a database professional who would then try to be aware it as gold standard he or she may, write a SQL query, and representing that query against a database or statistics warehouse. The outcome would be fed to an IT adult who would then write the necessary code to represent it as a dashboard on the government's team web site, on a shared app, or even simply as a standalone doc the govt bought by means of e mail. If a couple of facts supply become needed, then very commonly more than one database expert had to write separate queries (which then had to be melded collectively offline).
on the conclusion of this inefficient and multistep process had been analyses. You obtained historic analyses (i.e., suggestions after the fact rather than in actual time). These reviews constantly arrived too late for the enterprise to exchange or affect the influence of the recreation it depicted. as a consequence, enterprise analysts, branch heads, and C-suite leaders customarily acquired reports with delayed, overly simplistic, and vague tips. once in a while the assistance become beside the point when it finally made its solution to enterprise analysts or the C-suite because the business had modified course or other components emerged in the meantime. on the other hand, dashboards and studies made during this means rarely changed. issues proceeded as they at all times had: the identical questions asked, the equal information queried, the same studies and dashboards generated—every day and week after week.
against this, trendy self-provider BI apps let business analysts pass the middlemen and unstop many of the IT bottlenecks. This self-service utility additionally allows for using data outdoor the business in addition to from within, such as social media, the cloud, public records units, and IoT records. Some self-provider BI apps can use true-time statistics, but many are confined to close-time statistics (established refreshes). however, close-time facts usually is rarely a business difficulty. There are in fact only just a few use instances the place true-time statistics analysis warrants the additional effort and rate. in any case, near-time refreshes can also be as frequent as each minute or less.
with regards to self-provider BI dashboards, the important thing cost is typically threefold:
First, they do not require database knowledge to use. you are going to probably (although not always) need your database skilled's assist to set them up and fix them to all of the data sources you need. in any case, compliance and safety concerns nonetheless continue to be. IT usually gets involved at least to the factor of resolving those concerns, picking who receives credentialed access, and the way tons records they could see.
once it really is accomplished, these equipment supply varying levels of simplicity when it comes to writing your own queries. Some nonetheless work highest quality if you recognize some SQL, however others work completely the usage of natural language syntax, rendering SQL potential unnecessary. youngsters, most do require a superb realizing of records. This necessity isn't strictly from an operational standpoint, however as a result of errors will also be made in the interpretation of the outputs if the person lacks a simple understanding of facts. simply since the application made you a superb visualization of the computer's reply doesn't suggest that you requested the correct query.
2nd, almost all of them can act as a unified entrance end to diverse databases and data kinds. this is basically due to the rising recognition of big data, which is typically a combination of relational data (frequently SQL-based mostly) and unstructured data found in disparate sources both inner and outdoors the enterprise's partitions. via providing assist for a lot of sorts of records, these equipment allow individuals devoid of database potential—but with direct, front-line job adventure—to ask questions without delay towards the organization's statistics.
this can supply immediate payback against speedy-growing big statistics shops. It additionally allows for new insights and how you can leverage records, which might in any other case be misplaced when those questions percolate through information scientist and IT professional filters.
A single question can span varied databases and information kinds in list speeds, and the tool will cope with constructing the visual illustration, too. briefly, a group of data scientists isn't required. it's now not only faster but it surely's orders of magnitude simpler.
Third, these equipment can also construct reside records visualizations and dashboards themselves in place of forcing a separate operation from your business's programmers or IT staffers. those visualizations can also be exported as flat image files or as code snippets that you can simply replica and paste onto webpages or team web sites. Dashboards can also be directly shared, generally even with clients who don't seem to be the use of the BI app.
Integrating them with different apps is continually readily carried out via connectors, counting on no matter if or not the self-carrier BI app you are the use of has a connector to the app on which you are looking to share the dashboard. Some will nevertheless require some IT assistance, however even there the time required to operate the mixing is regularly reduced versus starting from scratch with only a collection of SQL queries. those code snippets will additionally do greater than simply render a visualization; they can additionally keep their connections to the are living data sources referenced in the question. This lets them alternate on the fly as supply information adjustments—the simple characteristic of any dashboard.
That actually goes far beyond what you could get through a standard spreadsheet. The decent news is that even some spreadsheet application corresponding to Microsoft Excel now includes facts visualization capabilities. These equipment can bring businesses of any measurement fresh views on their facts rapidly and easily. due to the fact most agencies are being inundated with new facts from all instructions, a fast route to come on investment (ROI) is frequently motive adequate to justify a self-serve BI or facts visualization application buy.
What to look for
when you've made the decision to invest, you will instantly know that no longer all information visualization tools are created equal. you will know they also are inclined to center of attention on distinct points of information interaction. So, to discover a solution so one can completely meet your needs, you deserve to consider your option cautiously in terms of aspects and capabilities.
First, assess cautiously into the styles of visualizations a tool helps. evaluate that no longer simply with the styles of information your corporation collects, however with how your business likes to devour that information. grab a free trial and experiment with new visualizations. Many organizations have standardized on a undeniable method of their key facts. make sure any new device can render records that means, and take the opportunity to try some new visualization methods. You can also locate that a brand new view unlocks new insights.
2nd, discover exactly which facts formats the query tools helps. There may still be an extended checklist that includes now not simply simple facts codecs equivalent to SQL and NoSQL databases, but additionally specific apps similar to Oracle or SAP Financials, sales tools such as email advertising and marketing systems and customer relationship administration (CRM) apps, and equivalent enterprise systems (peculiarly those your company is at the moment the use of). And, if you are taking into account a movement into big facts processing, then guide for Hadoop is important. Hadoop is Apache application basis's open-supply large facts framework that tactics huge amounts of data on clusters of servers.
Third, determine the diploma to which a tool can drill down on all of that supply data. What's required to drill down on statistics past first-tier querying? Can the device drill down on a live information visualization? For some businesses, that may also be an invaluable capability because it lets groups with no trouble exchange the story a given visualization is telling instantly, without starting from scratch. Does a "re-querying" of this form require SQL or does it use the same herbal language syntax as a first-tier question? bear in mind that the portraits you might be building with these tools don't seem to be easily photos, they're intended to be reside, visual home windows into your company. So, being in a position to straight away and easily regulate that view can be essential to realizing a device's full price.
for many industries, or not it's critical to have an audit trail of varieties for compliance factors on who is liable for the statistics and/or analysis the visualizations depict. or not it's equally critical tips for businesses that do not face this sort of regulatory requirement, because it offers you greater transparency and accountability inside the company. no longer to point out a contact that you can reach out to if you have extra questions. look for these capabilities in the publishing or collaboration features of the visualization device.
next, check into its exporting capabilities. once you've constructed your question and visualization within the BI tool, what are your options for exporting it to where other folks can eat it? Key options here may still consist of no longer just plenty of flat graphic formats (i.e., CVS, JPEG, PDF) but additionally code snippets that can be dropped at once onto webpages, integrated into different apps by the use of open utility programming interfaces (APIs), and rendered in the premiere way viable on both computer and cell instruments.
ultimately, in case your enterprise is collecting large data or is ready to enter into this sort of assignment (for example, embarking on an IoT providing), then study a product's superior processing capabilities. Some tools act in particular as querying front ends for again-conclusion information warehouses meant to do most of the processing your queries require. That can also be complicated if the statistics warehouse is under a continuing query load already, and it can also be downright unimaginable if your queries will span information sources backyard of the statistics warehouse. In such instances, the BI device will should give the efficiency muscle to crunch your question's numbers, which ability support for superior records processing capabilities (such as in-reminiscence processing) may also be important. once again, when evaluating your tool the usage of its free trial, be sure to verify its efficiency capabilities through operating as many advanced queries through it as which you could.
statistics visualization can basically be regarded the fairly face of records analytics. It does not alternate the numbers or the questions, it readily gives you extra approaches of taking a look at them. That will also be useful for some companies but fully useless to others. If superior analytics is what your company wants, then evaluate self-carrier BI tools based mostly greater on their number-crunching capabilities than on their visualization facets. but when you are attempting to convey a less complicated yet deeper view of all the facts your company is collecting to a much broader swath of your employees, then information visualization is of leading magnitude. just remember that not all americans bear in mind all photos readily. individuals study and ingest information in different ways. recognize your audience and decide visualizations that work most beneficial in speaking with that viewers.
professionals: respectable fee. brief, essential computerized record generation. handy-to-follow interface.
Cons: irritating reporting facets. Steep learning curve.
final analysis: Zoho reviews is a pretty good choice for everyday company clients who may not be a professional in analytics software. it be also available at a pretty rate.
pros: strong natural language question in third-birthday celebration functions. In-chip processing resolves bottlenecks.
Cons: in all probability a bit complicated for a self-carrier enterprise intelligence (BI) device. Analytics technique needs work. natural language features have boundaries.
base line: Sisense will easily attraction to seasoned BI users with its comprehensive elements, but it may additionally frustrate newbie users.
execs: wide range of connectors. remarkable sharing points. Limitless information storage.
Cons: person interface is not intuitive. Steep getting to know curve. Unwelcoming to new analysts.
final analysis: Domo is never for beginners but for groups that already have company intelligence (BI) event of their corporation. Domo's an impressive BI device with a lot of records connectors and strong facts visualization capabilities.
execs: extremely powerful platform with a wealth of data source connectors. Very consumer-pleasant. first rate facts visualization capabilities.
Cons: computer and web models divide facts prep tools. Refresh cycle is restricted on free version.
bottom line: Microsoft power BI earns our Editors' option honor for its unbelievable usability, precise-notch records visualization capabilities, and superior compatibility with other Microsoft office products.
execs: giant assortment of statistics connectors and visualizations. user-pleasant design. dazzling processing engine. Mature product with a big neighborhood of users.
Cons: Full mastery of the platform would require tremendous training.
final analysis: Tableau desktop is one of the most mature choices available on the market and that shows in its characteristic set. while it has a steeper getting to know curve than other platforms, or not it's with ease one of the vital most appropriate equipment within the area.
execs: outstanding platform for site and mobile app analytics.
Cons: consumer aid has manner too a lot automation. center of attention on advertising and marketing and promoting may also be frustrating to clients. relies primarily on third events for training.
base line: as a result of its manufacturer focus and the indisputable fact that it's free, Google Analytics is the greatest identify in web site and cell app intelligence. It has a steep discovering curve nevertheless it is an excellent company intelligence device.
execs: fantastic processing engine. effective question optimization on SQL. thoroughly web-based. complicated queries are dealt with very smartly.
Cons: Poorly designed consumer interface. Steep gaining knowledge of curve.
bottom line: Chartio excels at building a powerful analytics platform that experienced company intelligence (BI) users will admire. these new to BI, youngsters, will locate it very tricky to make use of.
pros: precise-time analytics for information superhighway of things (IoT) and streaming information aspects. large ecosystem with ample extenders. Responsive pages make mobile publishing easiest. unbelievable storytelling paradigm. Centralized view with consolidated analytics.
Cons: records prep points are lacking. complicated toolbar design. now not friendly for rookies.
base line: in case your business already uses SAP's HANA database platform or a few of its other again-end company platforms, then SAP Analytics Cloud is a magnificent, well-priced choice. however be warned that there is a steep discovering curve and a referred to dependence on other SAP items for full performance.
pros: Designed with everyday business clients in intellect. strong return on funding.
Cons: The facts that you may use is proscribed. needs additional platform to connect.
base line: The Salesforce Einstein Analytics Platform is designed for customer, earnings, and advertising analyses, although it can server different wants, too. Its effective analytics capabilities along with its solid herbal language querying performance and a wide selection of companions make it providing.
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