Microsoft Business Intelligence

Microsoft Business Intelligence

Valoración media

150 reseñas
  • 4.5 / 5
    En general
  • 4 / 5
    Facilidad de uso
  • 4 / 5
    Atención al cliente
  • 4 / 5
  • 4.5 / 5
    Relación calidad-precio

Detalles del producto

  • Precio de partida
  • Implementación
    En la nube, SaaS, web
  • Asistencia
    Horas laborables
    En línea

Datos del proveedor

  • IQubz
  • Fundada en 2007

Información sobre este software

Obtén una vista de 360 grados de tus áreas funcionales financieras, operativas y de marketing con soluciones poderosas de inteligencia comercial y creación de informes basadas en la plataforma de Microsoft: SQL Server Database Engine, SQL Server Integration Services, SQL Server Analysis Services (OLAP), SQL Server Reporting Services, PerformancePoint Server, Excel y Excel Services, creación de informes e IE para Dynamics GP y Dynamics CRM.


Funciones de Microsoft Business Intelligence

  • Análisis ad hoc
  • Análisis de datos
  • Análisis de rentabilidad
  • Análisis predictivo
  • Benchmarking
  • Consulta ad hoc
  • Indicadores claves de rendimiento
  • Indicadores de tendencia y problemas
  • Informes ad hoc
  • Métricas de rendimiento
  • Panel de comunicaciones
  • Planificación estratégica
  • Presupuestos y previsiones
  • Procesamiento analítico en línea
  • Visualización de datos

Las reseñas más útiles sobre Microsoft Business Intelligence

A pretty reporting tool for some (!) Microsoft Products, but pretty much useless outside of the Microsoft Landscape

  Traducir con Google
En general
3 / 5
Facilidad de uso
2 / 5
Características y funcionalidad
4 / 5
Asistencia al cliente
1 / 5
Relación calidad-precio

Comentarios: In light of the hype around this "Tableau destroyer" in recent months, I want to highlight some fundamental flaws in data connectivity and reports maintenance of Power BI, which the Product Team so far has turned down as "not in scope". In practice, though, this renders Power BI pretty useless for getting dara from any 3rd party products, in the cloud in particular. This review reflects Power BI as of mid March 2017. I have gathered my knowledge from testing, community interaction and a dozen tickets with Power BI Pro Support. The focus lies on getting data via Web Services, much aligned with Microsoft’s «Cloud First» Strategy. 1) Power BI Online is in the cloud, but does not allow for HTTP calls. Power BI Desktop allows for HTTP calls, but only with static authentication parameters.
First of all, a distinction needs to be made between Power BI Online and Power BI Desktop. While Power BI Online is the "master" that ultimately allows you to share and publish your reports, user experience in design is diminished by HTML limitations (you may know from Word or Excel Online) and more importantly, data connectivity (Get Data) is limited to SQL Servers on Azure and about 20 to 30 plugins from 3rd party solutions at present. Take note that on Power BI Online, you cannot select or manage your Gateways, either.
This brings the attention to the Power BI Desktop client. Updated every one to two months, the Desktop client brings data connectors necessary to connect to a larger number of data sources.
With the Web connector, HTTP calls been configured, although with just static headers and parameters and Basic and Windows authentication only. Importantly, though, Power BI Desktop includes Microsoft Power Query, which you may know from Excel 2016 already. With M Scripts, you can script and customise in many ways and most interestingly, convert it into table form quickly. This is where Power Query shines. However, Power Query does not seem to call on methods for nonces and timestamps required in token based authentication (OAuth for example). (Should this be incorrect, please please let me know. I have been browsing the fora and nagging Support too long already.)
What’s really amusing here is that Microsoft Azure uses OAuth 2.0 themselves. So, you cannot run any reporting on Microsoft’s Azure AD or Resource Manager database for example, a notorious blackbox. Back to Powershell. (Power BI does not accept Powershell feeds.)
In short, while Power BI Online does not allow to get any data out of the web (except for those 20 to 30 plugins, mostly Microsoft Products), Power BI Desktop allows for Web calls, but only with static parameters and thus, basically with your user credentials.
That’s a big limitation in Data Connectivity.
2) With Power BI Online being the master, the HTTP calls cannot be scheduled or refreshed in the cloud. Now that you have configured your HTTP call (with risky user credentials), you want to publish your report and have it refreshed on a scheduled basis, say every day.
Tough luck.
While you can publish your Report to Power BI Online and subsequently a broader audience, it’s a static image of your Desktop data. You cannot schedule a data refresh in Power BI Online (because there is no Web feature anyway) and you cannot even refresh the data manually as this requires republishing the Report anew.
You risk your management looking at outdated data whenever you forgot to republish your report and sneak the new URL into your dashboards and iframes.
3) The On-Premises Data Gateway is pretty useless for Web Services.
Yes, there is the On-Premises Data Gateway. Yes, you can configure Web Services in the gateway, although it’s pretty ironic to route web calls via on-premises infrastructure.
But did you ever try it? That is, you cannot specify any HTTP headers fort he calls at all, lest writing a Power Query script. And thus, we are back at authentication via Basic and Windows only and writing REST scripts in the data source for every single HTTP call because with no Headers and Body, all parameters need to be coded in the URI.
Will you do that?
At the end of the day, Power BI is Microsoft's long overdue acknowledgement that Excel and some Dynamics Reports do not cut it for Reporting purposes. Indeed, for reporting on SQL Server, Dynamics 365 (if you want to afford it), and Excel and Access databases stored in your OneDrive, Microsoft Power BI does a neat job. However, as soon as you want to integrate with 3rd party systems or via web services in particular, Power BI presents so many limitations in authentication, Header and Body configuration, scripting, and scheduling that you need to configure an entire SQL Server environment (on Azure or On-Premises via feature poor Gateway) and write a SQL CRL interface or buy Azure Data Factory to get that data in. For some pretty reports, do you really want to buy and customise all that BI infrastructure on Azure? My advice to Microsoft: Work on Data Connectivity, especially in Power BI Online, rather than more visuals for those limited data sources. Your Microsoft clients will consider Power BI a given for the utter lack of reporting in Office 365, Azure, or Dynamics 365 (yes, pushing it there).
My advice to Users: If the connectors are not listed, look somewhere else. (And make sure it’s your use case that is listed. Power BI announced an Azure AD connector, but rather than reporting on Users, Groups, or Enterprise Apps, you can only see on a nice map where the last logins happened.)
Is it a Tableau destroyer? No. It’s a long overdue acknowledgement for necessary reporting with the potential of being a solid Business Intelligence solution ONCE focus comes to lie more on data.

Puntos a favor: pretty visuals
Power Query
On-premises Data Gateway
responsible Pro Support

Puntos en contra: lack of data sources
pretty useless for 3rd Party Web Sources

Power BI is one of the most user friendly BI software for adding visual representation and analytics to your existing reports

  Traducir con Google
En general
4 / 5
Facilidad de uso
4 / 5
Características y funcionalidad
4 / 5
Asistencia al cliente
5 / 5
Relación calidad-precio

Comentarios: Overall good software for beginners and can be explored to get the best efficiency from the software

Puntos a favor: below are a few pros
• Sharing dashboard in a group
a. Sharing can be done once you have the Pro version of Power BI. Dashboard can be shared with the respective department members or your own team members.
b. Since you have prepared the dashboard you will be the owner and you can decide whether you want to give the other members only viewing rights or editing rights as well.
c. With this feature reports will always be on the cloud server and can be viewed as and when required
d. Reports can be downloaded as and when required.
• Viewing dashboard in Mobile/ tab and preparing phone layout
a. Once a dashboard has been prepared and saved, the same can be accessed on Power BI App with the same login.
b. Since the screen is small compared to laptop, all the dashboard elements can be redesigned to suit the phone screen.
c. The other features remain the same and the dashboard is interactive on the phone as well however it cannot be edited on phone.
• Export dashboard to PowerPoint, PDF
a. This is one of the most important features of Power BI. Reports or dashboards prepared can be exported on PowerPoint or PDF with a click of a button.
b. Hence Management reports and department reports can be automated on Power BI and once you refresh the data, the report will be ready to share.
c. One problem is that few images which are not compatible with PowerPoint don’t show post downloading.
• Narratives for dashboard
a. This is one of the recent features offered by Power BI. With the help of narratives you can get the insight of the dashboard in a story form.
b. Narrative uses its intelligence to study the data and give output in pointers, paragraphs etc which can be customised.
• Importing visuals to suit your need
a. Apart from the general visualizations available in Power BI, there are additional visualizations released by Power BI from time to time. These visualizations enhance the visual appearance as well as the adds to further analytics in different ways.
b. Visualizations which have downloaded and used in the dashboard are Infographic designer, Narratives for Business Intelligence, KPI Column chart, and Timeline.
• Edit interactions in dashboard
a. It is important to understand the interactions and groupings in power BI since with the help of these you can control which graphs you want to automatically change by clicking on the other.
b. With the help of grouping you can define groups and sub group which can be viewed together as a group if required.
• KPI Column Chart
a. This is a recent custom visual developed by Power BI. With the help of this visual you can put the KPI target against the actual on a monthly basis.
b. Forecasted revenue/ cost can also be put in this visual which will be shown in different colour.
c. Individual monthly targets can also be put which can be interchanged by putting variance.
d. Data can also been viewed in a table form along with graphical.

Puntos en contra: • One of the important features of exporting report in PowerPoint does not allow custom visual to be exported. Hence if there are custom visuals in your report then the same will show error once exported.
• Arranging dashboard is a bit tedious and takes a lot of time
• To share reports, we need to publish to MS Cloud. We cannot share report from Power BI Desktop
• For sharing a report even members to who report needs to be shared have to get Power BI Pro. Since the department to whom report is shared is just to view giving them a Pro license might not be useful.