キャプテラ - 日本企業の最適な
ソフトウェア選びをサポートし17年
Microsoft Power BI
Microsoft Power BIとは?
レポーティング、データ準備、およびデータ可視化ツールを備えたビジネス・インテリジェンスと分析ソフトウェアのスイートです。
Microsoft Power BIの対象ユーザー
Power BIは、開発者、アナリスト、IT、その他のビジネス・ユーザーが使用しています。
Microsoft Power BIをご存知でしょうか?
別の人気製品との比較
Microsoft Power BI
Microsoft Power BIの評判・レビュー
Easy, robust business intelligence and visualizations made possible
法人向けMicrosoft365ユーザーは一度触ってみるべき
製品を使ってみた感想: (高度なことをやろうとすると難易度が上がるが)BIツールの中では情報も集めやすく最初の敷居が低い。M365の契約があれば無償で利用できる(レポートの共有はPower BI Proなどの追加有償契約が必要)ので、一度触ってみると良い。
良いポイント:
とにかく簡単にデータを取り込み、可視化できる。また、元データを改変しない(初心者、不慣れな人間が意図せず元データや計算式を変えてしまうことがない)。
改善してほしい点:
習得の難易度。エンドユーザーにはあまり関係ないが、データ構造からデータ分析を行うにあたり必要な情報へ展開する場面でM言語、DAX、リレーションなど習得すべき内容が多数。
Power BIのレビュー
製品を使ってみた感想: 部内のツールの利用費等々、BIで可視化することで見えるかを実現でき、BIのお試し利用には最適なツールだと思う。
良いポイント:
マイクロソフト製品という事もあり、操作感がEXCELと比較的近いこと。単体のPowerBIデスクトップだと無料で利用でき、気軽にデータ可視化・BIを導入できること。
改善してほしい点:
機能面に不満はないが、価格面が少しわかりらい。Proの価格が少し下がれば、さらに利用が広がると思われる。
Share reports interactively
製品を使ってみた感想: As I have used this tool for my work area, it has allowed me to share reports with my team or clients, and it helps my clients understand new projects in an interactive and easy way.
良いポイント:
Microsoft Power BI has offered me a wide range of visualizations, as it has charts that help present data or information accurately. Additionally, its ease of use has made it easy for me to adopt this tool quickly.
改善してほしい点:
I have found the subscription to be a bit expensive; however, it does have a free version, which I find impressive.
検討した類似製品:
Power BI - Excel on steroids
製品を使ってみた感想: I learnt Power BI capabilities first through Excel Power Pivot and then rolled out Power BI at my company. I liked it so much that I moved to consultancy and now support companies in rolling out Power BI as a career. I only work with Power BI as I genuinely prefer it over other BI tools.
良いポイント:
Coming from a business background I found Power Bi easy to access, learn and ultimately master. It combines the best of both worlds: easy access and powerful capabilities.
改善してほしい点:
There’s a few (isolated) things where competitive solutions may have a better capabilities : maps are one of them.
A pretty reporting tool for some (!) Microsoft Products, but pretty much useless outside of the Microsoft Landscape
製品を使ってみた感想:
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.
良いポイント:
pretty visuals Power Query On-premises Data Gateway responsible Pro Support
改善してほしい点:
lack of data sources pretty useless for 3rd Party Web Sources