To improve the efficiency of its business teams (marketing, sales, and after-sales), Airbus sought a tool that would allow itto easily analyze a very large volume of<\/strong> statisticaldata<\/strong> on the civil aviation market.<\/p>\n The Business Information Object (BIO) project used an agile approach to lead the development of the DigDash Enterprise decision-making solution. It now provides more than 300 users with a solution for transforming massive amounts of data (5 billion records!) into relevant information. Today, Airbus\u2019s business teams are able toidentify trends,<\/strong> develop key marketing messages, guide customers toward consistent models, and project tangible potential gains related to the operation of its aircraft. <\/p>\n <\/p>\n <\/p>\n An analysis of statistical data on the global airline market over the past 30 years holds the potential to yield a wealth of information for marketing teams. However, until now, the aircraft manufacturer did not have a tool capable of processing such large volumes of data. The main challenge of the BIO project is to build a tool capable of processing very large volumes of data<\/strong>\u2014without requiring the multidimensional analysis grid (cube) to be reconfigured for each new analytical query. Lacking a suitable solution, Airbus turned to SQLI. SQLI was already working on the existing business intelligence platform and was familiar with the context and the business. As a result, they recommended the DigDash Enterprise solution, a business intelligence tool based on in-memory computing technology<\/strong>. (RAM) This solution enables the creation of dashboards that can be accessed via the web. <\/p>\n Eric Gavoty, VP of Sales & Marketing at DigDash, explains regarding the solution: \u201c \u201cOur DigDash Enterprise software can natively analyze both structured and unstructured data and handle very large volumes of data (in this case, processing 5 billion rows with near-instantaneous results). This secures its position as a leading agile Big Data or Big Analytics software solution.\u201d<\/p>\n Claudie Costes-Druilhe, Head of SQLI\u2019s Decision-Making Division, adds: \u201cSQLI very quickly decided to invest in the DigDash Enterprise product. The idea was to address the challenges of designing dashboards and exploring data<\/strong> in large databases. All of this while taking into account the complexity of the IT systems to be integrated. We shared this vision with our clients during a \u2018breakfast meeting.\u2019 It was organized in Toulouse in partnership with the software vendor, and was followed by the successful implementation of the solution as part of this project.\u201d <\/p>\n <\/p>\n <\/p>\n Beyond storage issues, importing large volumes of data was a challenge<\/strong>. But what was most important was analyzing the data by cross-referencing the imported data with Airbus\u2019s internal data. This was especially true for the business and IT teams, who opted for an agile<\/strong> development approach.<\/strong> This work was carried out through a cross-functional team comprising developers, IT architects, and business experts. The goal was to facilitate information sharing and test the product during the development phase. <\/p>\n <\/p>\n <\/p>\n The BIO project turned out to be quite unusual; it was, in fact, a business-IT project. This winning business-IT partnership worked perfectly to challenge conventional methods and in-house \u201coff-the-shelf\u201d tools. In addition, the steering committee specifically sought support from the systems integrator SQLI. SQLI provided consultants with the \u201csoft skills\u201d essential to the project\u2019s success. The business intelligence experts provided by SQLI were selected for their abilities that went beyond mere technical skills\u2014an innovation-oriented mindset, to name just one. <\/p>\n <\/p>\n <\/p>\n Now Samuel Picaud, Business Project Leader, and Aur\u00e9lien Turina, IT Project Leader, who are in charge of the BIO project, have succeeded in their endeavor. Indeed, by delivering the foundation that makes information available to the teams, the platform is entering the production phase. The newly created data stewards ensure that objects are correctly and accurately classified (geography, accounts, devices, airports, etc.), all of which is drawn fromthe massive database<\/strong>. At the same time, a separate team oversees the system\u2019s governance and decides on its future developments. <\/p>\n \u201cWith the BIO project, we\u2019re truly driving our digital transformation. We\u2019ve shifted from a \u2018push\u2019 model to a \u2018pull\u2019 model for information. What\u2019s more, our business teams no longer have to wait for a monthly report to arrive in their inboxes. They go directly to find the information they need. To our users, it still feels a bit like magic. In fact, the tool we\u2019ve implemented provides them with a simple view despite the extreme complexity of the backend. <\/p>\nBig Data means big<\/h2>\n
An Agile project in “plateau” mode<\/h2>\n
Integration into the Airbus IT environment<\/h2>\n
User Autonomy<\/h2>\n