{"id":2562,"date":"2016-04-07T00:00:00","date_gmt":"2016-04-07T00:00:00","guid":{"rendered":"https:\/\/dev.abes.com.br\/?p=2562"},"modified":"2016-04-07T00:00:00","modified_gmt":"2016-04-07T00:00:00","slug":"nova-dinamica-de-negocios-conduz-empresas-a-adotarem-bi-bimodal","status":"publish","type":"post","link":"https:\/\/dev.abes.com.br\/en\/nova-dinamica-de-negocios-conduz-empresas-a-adotarem-bi-bimodal\/","title":{"rendered":"New business dynamics leads companies to adopt bimodal BI"},"content":{"rendered":"
\n\t\"\"<\/p>\n

\tBy Enrique Falconi, BI solutions specialist at SAS Brasil<\/p><\/div>\n

 <\/p>\n

\n\tA new dynamic is taking over business intelligence and increasingly demanding data analysis tools. Currently, it is no longer enough to be assertive - you need to be agile. In other words, the traditional BI solution model is out of step with the pace required by business.
\n\t 
\n\tIn fact, the speed of data transformation in the Big Data era can make information irrelevant in a few weeks - or even a few days in the face of market changes. Currently, generating only reports and dashboards by traditional means of developing BI projects has lost its competitiveness due to the evolution in the capture and advanced analysis of data.
\n\t 
\n\tKeeping an eye on this and other trends for 2016, Forrester pointed out that traditional companies will be faced with the disruptive need to find more agile analytics solutions and processes in order to work more dynamically. In addition, Gartner has identified that, by 2017, most Business Intelligence (BI) solutions will be self-service Data Discovery models.
\n\t 
\n\tFor five years, Data Discovery, a new architectural model combining self-service data visualization and exploration techniques, has been overturning the three-decade hegemony of traditional BI. With Data Discovery resources, data analysis was independent of the IT team, which usually allocates a lot of time and resources to corporate projects that are not justified for those who expected quick and punctual responses.
\n\t 
\n\tThe use of easy-to-view tools and ad-hoc departmental analysis models made it possible for each area of the company to work on specific layers of the database. This means that self-service BI made it possible to work with analytics without having to structure all the data generated by the company, which reduces the time from months to a few weeks.
\n\t 
\n\tIn this sense, conventional BI, used to obtain deep insights about the company as a whole, lost its preference in the face of the need for quick action by the commercial teams and other departments in the companies. Despite the deepening and data validation architecture of this project development model, the process is still slow and can take from six months to years to deliver results.
\n\t 
\n\tThis does not mean that the typical BI architecture should be discarded - quite the contrary. A study by Gartner identified that the key to competitiveness for the coming years lies in a bimodal model of conventional analytical intelligence with the flexibility of Data Discovery.
\n\t 
\n\tThe problem is that, captivated by the agility of self-service, many companies are totally abandoning the structuring BI projects in exchange for data exploration. At first glance, gains in agility seem to meet the most immediate needs of companies. However, many are already showing adverse reactions regarding the superficiality and reduced assertiveness of the reports generated. The level of effective depth brought in at the organizational level and responsible for the most strategic directions of the companies has been lost.
\n\t 
\n\tAnd considering, according to Gartner, that 75% of companies will invest in Big Data by 2017, competitiveness will be based far beyond those who simply use data visualization tools or not, but on those who know how to combine agility and stability, which are the fundamental bases of the bimodal future of intelligence and business.<\/div>","protected":false},"excerpt":{"rendered":"

By Enrique Falconi, specialist in BI solutions at SAS Brasil A new dynamic is taking over business intelligence and demanding more and more from data analysis tools. Nowadays, it is no longer enough to be assertive \u2013 you need to be agile. In other words, the traditional model of BI solutions is [\u2026]<\/p>","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[8,19],"tags":[],"class_list":["post-2562","post","type-post","status-publish","format-standard","hentry","category-artigos","category-ultimas-noticias"],"acf":[],"publishpress_future_action":{"enabled":false,"date":"2026-06-14 07:21:37","action":"change-status","newStatus":"draft","terms":[],"taxonomy":"category"},"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/dev.abes.com.br\/en\/wp-json\/wp\/v2\/posts\/2562","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dev.abes.com.br\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dev.abes.com.br\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dev.abes.com.br\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/dev.abes.com.br\/en\/wp-json\/wp\/v2\/comments?post=2562"}],"version-history":[{"count":0,"href":"https:\/\/dev.abes.com.br\/en\/wp-json\/wp\/v2\/posts\/2562\/revisions"}],"wp:attachment":[{"href":"https:\/\/dev.abes.com.br\/en\/wp-json\/wp\/v2\/media?parent=2562"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dev.abes.com.br\/en\/wp-json\/wp\/v2\/categories?post=2562"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dev.abes.com.br\/en\/wp-json\/wp\/v2\/tags?post=2562"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}