10 comparison of BI tools.10 comparison of BI tools for each type of four types.How to choose by 4 types

Last update: 2022-02-28

For those who feel the limit or dissatisfaction of performing data analysis with Excel etc.Introducing the functions of the BI tools, the advantages of introducing them, the types of services and comparison points provided.

table of contents

What is a BI tool?

The BI tool is a business intelligence tool that collects various data accumulated in the company and share and analyze.

In -house data is diverse, such as customers, internal management, and management figures.Therefore, it tends to be stored separately for each department and person in charge.As a result, disadvantages such as "it takes time to find the necessary data" and "cannot analyze accurate analysis" may occur.

The BI tool is useful.Since it is possible to aggregate data scattered around and perform analysis and visualization by graphs, it can be used for various purposes, such as increasing the accuracy of management decision -making and using it effectively for marketing and strategy formulation.can do.

Main functions of BI tools

The BI tools mainly have the following functions:

レポーティング機能

This is a function that consolidates various data in the company and displays it in a format such as graphs and charts.Focusing on sales management and KPI (important performance evaluation indicators) management, checking efficiency and performance and quick detection of quick abnormalities can be accelerated.There are many tools that can be visually checked by displaying a graph on the dashboard.It is used on a daily basis, including materials to submit to the meeting.

OLAP分析

OLAP is an abbreviation of Online Analytical Processing, and is a function that supports verification when analyzing accumulated data.You can easily analyze multiple data relationships from multiple angles, such as "Drill Down" and "Slicing".There are also tools that can quickly process large amounts of data with the processing technology called "in memory".

データマイニング

It is a function to grasp and explore various data through statistical processing through statistical processing.Data mining allows you to obtain new knowledge and awareness from the current data.Even if you do not make a hypothesis on your own data correlation, you can handle it even if you have no specialty as OLAP analysis, such as finding a rule through data mining.

プランニング

It is a function that simulates future figures while analyzing past achievements and making plans.It is often used in situations such as budgeting, sales planning, and inventory management, which is useful for highly accurate forecasts.There is also a function to see how much sales and profits have changed due to changes in conditions such as "What IF analysis".

Main utilization scenes of BI tools

Based on the above functions, the BI tools are used according to the following needs.

BI tool type

The BI tools are roughly divided into four types.It is a good idea to choose a service that can make use of the characteristics of the tools, mainly depending on the business size and usage.

(1) Type that can be introduced from individual units

It is a type of tool called "self -service BI".Data analysis can be performed from the cloud environment and desktop environment without having to build a server for the BI tool, and it also supports sharing with teams.The advantage is that you can easily introduce it in individual units in that you do not need a large -scale equipment and you can introduce it with a PC.

Depending on the tool, the data source that can be connected may be limited, or the movement may be slow when you want to process a large amount of data, so it may not be suitable for analysis of large -scale data. You should be careful.

(2) Type suitable for data aggregation / analysis and environmental construction

It is a type that is suitable when you want to set up the environment so that you can aggregate internal data and freely analyze and use data.In order to aggregate internal data and adjust the analysis environment, it is necessary to build a database server and link with various business systems in the company.This allows cross -sectional data analysis.

(3) Type suitable for cooperation with cloud environments, etc.

Like (2), it is for data analysis environment, but here is a strength that has a strong cooperation with business systems built in SaaS and cloud environments.In cooperation with SaaS, the connection method called a connector is prepared in advance, making it easier to link data.

(4) Applicable type type

This type specializes in a specific purpose and scene.This is recommended if you want to use it in specific scenes, such as wanting to analyze sales or plan a marketing plan because you can use the necessary functions and use it simply.

Points of comparison of BI tools

If you narrow down the BI tools with a type that matches the application, it is a good idea to compare them based on the specific functions.There are mainly four comparison points.

How to extract / search data

In order to extract the necessary information from a huge amount of data, it is necessary to describe a script (SQL) that issues database operation and order, whether it can be selected from the icon button, pull -down menu, etc., or corresponds to both.Let's check if you are.If the person who uses the SQL sentence is large, it is better to operate intuitively.If you want to analyze the detailed search content and high degree of freedom, it may be better to use the SQL statement.

Lord of SaaS and apps that coordinates

The BI tool has a connector to smoothly cooperate with databases and SaaS.Even if a connector is not prepared, some data can be used to link data by using CSV, but it will be more troublesome than a connector that can be linked automatically.It is recommended that you select based on whether the connector is currently supporting the services you use in -house.

Correspondence to Excel output

If you want to further process and utilize the data analyzed by the BI tool, or to share it with an Excel data, it is useful to have a function that supports the output in Excel.For example, "Light Technique Web (Fuji Electric Co., Ltd.)" supports the output of the analysis as an Excel report."MotionBoard (Wing Arc 1st Co., Ltd.)" can be converted to Excel optionally.

Main BI tools (can be introduced on individual units)

Here are three types of BI tools that can be easily introduced on individual units.

Tableau (Tableau Japan Co., Ltd.)

(Source: Tableau official website)

Salesforceのグループ企業であり、世界的に導入されているBIツール。ビジュアル化に強く、ダッシュボードのカスタマイズが柔軟。地図マップの自動作成もできる。操作はドラッグ&ドロップを基本として、簡単にグラフを作成可能、ノートPCでの分析や、モバイルアプリからのアクセスにも対応できて、社外でのデータ確認も容易になっている。データ管理に役立つTableau Prep・Tableau Data Management、複数のユーザーとデータ共有ができるTableau Public、Salesforce とのネイティブな連携や、AI分析・予測ができるTableau CRMなど、多くのオプション機能を有していることも特長。

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Google Data Portal

(Source: Google Data Portal Official Website)

A free BI tool that features an interactive dashboard and an attractive report.For Google services, it is possible to easily connect data used in various Google services such as spreadsheets, analytics, Google ads, Google BigQuery.In searching the data, the creation of SQL statements is unnecessary, and it is easy to use even for those who have no specialty, and the charts and graphs are created only by clicking and dragging and dropping, and the team is shared not only by individuals but also by individuals.You can also edit and add comments.Most Google services are compatible with data connectors, so if you are using Google Services, you should first introduce a BI tool from this service.

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Microsoft Powerbi (Microsoft)

(Source: Microsoft Powerbi Official Website)

The biggest advantage is that Microsoft's BI tools are compatible with Microsoft products and can use data in cooperation with Azure and Office.The output also supports the format such as Excel, PowerPoint, and PDF.The data connector is free of 500 for free, and it is easy to link data, and it can be connected directly to hundreds of on -premises and cloud data sources.Microsoft AI uses data preparation and building machine learning models, not only gaining new awareness, but also a support function that can be answered by throwing business questions to AI.

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Main BI tools (for building data analysis environments)

Here are three types of BI tools that are suitable for building a data analysis environment.

Light technique WEB (Fuji Electric Co., Ltd.)

(Source: Light technique web official website)

A BI tool to make it easy for anyone to use information assets in the company.Since you can search for data with simple operations, you can easily access the data you want in the browser condition settings even if you do not have specialized database expertise.It can be stored in a specific folder after data search or sent by email.It is equipped with a support function for reporting based on the search function and an automation function (task scheduler) for repeated processing, which can lead to business support, work efficiency, and labor saving.The strength is that not only constant data transitions such as management indicators, but also non -standard work such as site status report data.

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Actionista! (Just system Co., Ltd.)

(Source: Actionista! Official website)

A BI tool that supports corporate aggregation, analysis, and reporting work.The purpose of the person in charge of the business department without specialized knowledge is to analyze the data by themselves, and only the operation of the web browser can be used in completely non -programming.The introduction of the development environment and dedicated clients is unnecessary ease of use.Preset a general aggregation method that is expected to be used within the company, and complete the aggregation table by selecting drags & drops and aggregation methods.The optimal graph can be displayed by selecting an analysis scenario, such as forecasting, fluctuating, and correlation, and analyzing more easily than using Excel.It is also nice to be able to use a client -free server license that all users in the company can be used by purchasing one license.

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Motionboard (Wing Arc 1st Co., Ltd.)

(Source: Motionboard official website)

A BI tool that provides the functions required for data on one platform.More than 30 types of charts cover the industry -specific needs, and a variety of expressions are possible, such as maps and calendars for retail distribution industries, and management diagrams and Gantt charts for the manufacturing industry.The data connector also uses CDATA Software adapters and covers more than 60 types.A cloud version is also provided, so you can start a small start and determine the usability because it does not require server procurement.The company's data infrastructure solution "DR.It is recommended to use "SUM Cloud" to collaborate with data, create an analysis database, and to aggregate and analyze Motionboard.

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Main BI tools (strengths in cooperation with cloud environments)

Here are two BI tools that have strengths in cooperation with the cloud environment.

DOMO (Domo Co., Ltd.)

(Source: DOMO official website)

A cloud -shaped BI tool with excellent data linkage and data management.It is linked with a large number of SaaS used overseas, and can develop an environment to data analysis by DOMO alone.The combination and conversion of data can be used not only in intuitive UI, but also for custom scripts such as SQL, R, and Python, and supports advanced data.It can be connected to more than 1,000 data sources, and if you create a real -time data update function, a graph called "card", you can make multiple analysis by creating more detailed content cards, and automatically optimally for mobile devices.It has been converted and flexible on mobile.You can build a system that allows you to link and respond without loss of time, such as alert functions, chat functions, and communities.

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QLik Sense (click tech Japan Co., Ltd.)

(Source: QLink Sense Official Website)

データの見える化と高速探索から情報分析を迅速に行うクラウド型BIツール。独自のアナリティクスエンジンと AI により、見落しがちな点まで発見することを強みとするセルフサービス型のデータ分析プラットフォームで、機械学習、自然言語処理による分析まで対応している。ドラッグ&ドロップの直感的な操作性と、スマホやタブレット対応のマルチデバイスでデータを視覚化し分析できることも魅力。クラウド型でデータベースの運用が不要なので、導入しやすいという点もメリットとなっている。

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Main BI tools (specialized use)

Here are two BI tools suitable for use for specific applications with simple functions.

Kizukai (Kizukai Co., Ltd.)

(Source: Kizukai official website)

BI tool for managing and analyzing subscription services.Collecting customer data, analyzing customer status, you can find customers who are likely to cancel the service and customers who can upload, and automatically extract communication measures and lists to take action.The advantage is that you can get a cancellation factor and start an essential improvement.Cancellation risk by AI, prediction analysis of upsels and paid membership, customer scoring, data fixed point observation, and alert functions, etc. are equipped with many data analysis in the subcus service.There is.

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Sales Rush Board (SRUSH Co., Ltd.)

(Source: Sales Rush Board official website)

A BI tool that allows you to perform difficult analysis with Excel, sales support tools, and CRM alone without engineering skills and without user burden.It specializes in analysis for sales and marketing, and can create graphs with less time and effort, such as connecting and integration of data.Equipped with more than 250 types of services and more than 100 templates, you can proceed with analysis from various tools.The analysis is performed by AI and machine learning, and can be used to analyze the cause of the bottle neck, selection of countermeasures, sales simulation, and order correlation, etc., so that it is easy to see and use.

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summary

In order to make effective use of accumulated data, such as sales information, customer information, inventory, and accounting information as an asset, it takes time and effort, such as organizing data and extracting necessary information.Also, data processing may require specialty, but if you do not have any knowledge of data scientists, you may not know what to do.

The data is a means for achieving the purpose.In that sense, it can be said that it is meaningful to introduce useful items such as BI tools.When introducing a BI tool, consider what the company needs, how much the opportunity to use, and consider the application and the sense of scale.