is agile bi really a disruptive bi innovation?

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With the continuous development of enterprise informatization, the era of big data, the era of mobile interconnection, the Internet of things has come. In the new market competition situation, how to carry out business analysis faster, more effectively and more economically, and make corresponding countermeasures, gradually become a huge challenge for each enterprise. Now, memory analytics and data visualization are becoming a very popular concept in the field of data analysis and business intelligence. You may sometimes hear that agile bi memory analytics is the direction of business intelligence, a disruptive innovation to traditional BI technologies, and some data analytics vendors shout out many of these ridiculous slogans. Has the world's business intelligence technology really changed? is the traditional BI technology no longer applicable?

We sell a Xiaoguanzi first, not answer this question.

Let's introduce a data visualization self-service analysis tool that belongs to IBM's so-called Agile bi, Memory analytics. By consolidating the memory analysis engine and data visualization capabilities, it enables business people to combine data from corporate servers with data from external data sources such as personal computers for data exploration and hypothetical analysis.

It is a personal analytics solution that helps users explore, analyze, visualize, and share data independently without relying on it for help. Analysts and industry managers can create and share custom applications, dashboards, and visualizations within minutes to help meet individual and workgroup challenges.

Is it really so powerful? Let's take a look at its presentation first.

This is the welcome interface, is not a bit of dynamic web feel, in fact it is a Windows application.

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Then look at the display effect, hehe, these graphs are real-time based on the data generated dynamically.

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and the colors and types of the graphics can be adjusted by the business users self-help. All dimensions (business perspective) and metrics (statistical indicators) can be freely combined, filtered, sorted, and calculated for various operations such as derivative indicators.

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One of the most important is that it does not require business people to collate data and build models. Because it is smart, it automatically models the data according to its characteristics, and uses the machine's memory to visualize the data. The part of the red box is the multidimensional model that it automatically builds on the data.

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Import data, I sounded very it, is not to ask our it danale to do it again. Oh, actually do not understand it can do, simply need you to the external data (TXT, CSV, Excel files, etc.) dragged to its main interface, everything is done.

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See here, you must be interested in this clever analysis tool. Let's look at this in more detail.

Yes,June 22 , the Institute invited IBM experts to the business intelligence software Cognos public class, combined with big data, there are some cases, like free, interested friends can register to listen to!

IBM Cognos Insight Introduction

IBM Cognos Insight is a powerful desktop tool that allows users to quickly import, analyze, and share personal and corporate data. By trying to schedule different data, users can use the tool to analyze and create what-if scenarios, as well as use it with IBM Cognos TM1 applications, and create and publish plans to anticipate and budget the IBM Cognos TM1 applications Portal.

Let's start by understanding how IBM Cognos Insight works and the different ways in which it can be used.

Import data

IBM Cognos Insight allows you to import and analyze data from a wide variety of data sources, including:

• CSV file

• Microsoft EXCEL spreadsheet

• ODBC Data source

• IBM Cognos BI Reports

• IBM Cognos BI Packets

• IBM SPSS Statistics File

• IBM Cognos TM1 Cube views

• IBM Cognos TM1 Dimension subsets

IBM Cognos Insight-connect to IBM Cognos TM1 menu items

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You can choose to import data by using the-Get data-menu-Quick Import-Import data-import dimension, one of the options.

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(1) Quick Import

Allows you to quickly import files in a specific format, where the dimension is listed earlier (based on text or date items) followed by a measure column. After the data is imported, a default workspace is created and ready for direct analysis.

(2) Import data

Allows you to import data from any supported data source and add structures, such as creating levels for a dimension in a hierarchy, and creating calculators for your data. Typically, this option is used for advanced analysis, where you can drill up and down in the data hierarchy and see how to understand the situation at different levels.

(3) Import dimensions

This option is similar to importing data, but it does not import measures. This option is useful when you have some dimension data, such as geo-information or time data, and you might want to use these dimensional data as the basis for planning, budgeting, or predicting the applications that people will participate in.

Once you have selected the desired import source, you can import the data into IBM Cognos Insight and add the structure as needed. After the data import is complete, you can start creating workspaces to visualize and analyze the data, as shown in.

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The IBM Cognos Insight workspace shows two exploratory points for filtering (time and Product), one for the crosstab and the other for the chart.

Shared Analytics

After you create a workspace, there are several options that you can use to share your work with others. You can share files by using some common methods (such as email, placing files on a local area network), or you can share the file with IBM Cognos bi through the sharing option in the IBM Cognos Insight menu, as shown in.

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After you complete the operation in the Share Wizard,. The CDD (Cognos insight-generated files) file is stored in the IBM Cognos bi Content store and appears in the Ibmcognos Connection (web portal for Cognos Bi) as shown in.

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Users can click on the link, which will launch their own desktop version of IBM Cognos Insight, download the file and open it locally. They can choose to be. CDD files are saved to their local computer if they wish.

More......

DirecTV, a satellite service provider, has deployed IBM Cognos Insight, and their 50 planners have been using Insight for more than 1 years. They use insight to explore historical data on user segments, geo-infiltration, service bundles, pay-per-pay programs, and other business.

Most of DirecTV's data comes from a data warehouse and is focused on the Cognos bi server, but Cognos Insight enables these planners to perform new desktop analytics and add external data on specific geographic trends, competitor promotions, programs, and more.

"This allows us to more accurately predict the needs of new users and users for regular programs or DVR set-top boxes." "DirecTV, head of business intelligence and performance management," said Jack Purvis.

"Cognos Insight can help users analyze data from different dimensions, narrow the scope of answers, and enable users to effectively model data without being proficient in program development." "Purvis said.

Now, let's answer the question that is mentioned at the beginning of this article. is the traditional bi technology outdated, data visualization, agile BI, Memory analysis technology can be covered by the analysis of the needs of the world?

In fact, memory technology is no longer a fresh technology, data visualization is only one of the most popular technologies in the field of data analysis, business intelligence, and so-called agile bi can only pin the data analysis that is implemented under the premise that the database tables are well-structured. In most cases, the distribution of data in an enterprise is very complex, and the need for data analysis is varied. Therefore, to meet the analysis needs of different business users in the enterprise, light has these two technologies is not enough, but also with such as dashboards, scorecard, proprietary reporting, ad hoc queries, multidimensional Analysis, analysis of early warning, office analysis, mobile BI, whatif analysis and even data mining and other business analysis technology. In addition, different business users in different business analysis scenarios using different analysis techniques, only the appropriate analysis of the appropriate analytical scenarios to get the best analysis results. So, data visualization, memory analysis, agile Bi is just one of the important means, you think ...

is agile bi really a disruptive bi innovation?