{"id":23881,"date":"2021-10-14T13:47:09","date_gmt":"2021-10-14T11:47:09","guid":{"rendered":"https:\/\/mainstream.eu\/sr\/blog\/kako-inovativne-kompanije-stvaraju-vrednost-od-podataka\/"},"modified":"2024-10-30T09:48:48","modified_gmt":"2024-10-30T09:48:48","slug":"from-legacy-technologies-to-hybrid-data-platforms-how-innovative-companies-create-value-from-data","status":"publish","type":"post","link":"https:\/\/mainstream.eu\/en\/from-legacy-technologies-to-hybrid-data-platforms-how-innovative-companies-create-value-from-data\/","title":{"rendered":"From Legacy Technologies to Hybrid Data Platforms \u2013 How Innovative Companies Create Value from Data"},"content":{"rendered":"\n<p>Despite loud and frequent proclamations that cloud technologies are a new reality, that business must take place in the cloud, many large companies with legacy systems, some of which date back decades, do not say goodbye to these systems, on the contrary. They are using them and will continue to use them as part of a <a href=\"https:\/\/www.mainstream.rs\/en\/services\/mainstream-consulting-services\/cloud-strategy\/\">hybrid cloud strategy<\/a>.<\/p>\n\n\n\n<p>The reasons for using the legacy system in the digital age are often more than legitimate. For example, companies may have complex levels of integration into business systems that cannot be switched to the cloud with the lift and shift method. At the same time, the application of new enterprise systems is increasingly taking place in the cloud, creating so-called information silos: fragmented data within the legacy and the new, cloud environment. Additionally, analytics and BI teams have to deal with the challenges of integrating and analysing data from two or more data platforms. Numerous questions arise in this regard.<\/p>\n\n\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<span class=\"ez-toc-title-toggle\"><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/mainstream.eu\/en\/from-legacy-technologies-to-hybrid-data-platforms-how-innovative-companies-create-value-from-data\/#Hybrid_data_strategy_in_response_to_challenges\" >Hybrid data strategy in response to challenges<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/mainstream.eu\/en\/from-legacy-technologies-to-hybrid-data-platforms-how-innovative-companies-create-value-from-data\/#How_to_choose_the_right_technologies_and_partners_for_data_transformation\" >How to choose the right technologies and partners for data transformation?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/mainstream.eu\/en\/from-legacy-technologies-to-hybrid-data-platforms-how-innovative-companies-create-value-from-data\/#Data_platform_architecture_ETL_or_ELT\" >Data platform architecture: ETL or ELT?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/mainstream.eu\/en\/from-legacy-technologies-to-hybrid-data-platforms-how-innovative-companies-create-value-from-data\/#Organization_for_optimal_data_strategy\" >Organization for optimal data strategy<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Hybrid_data_strategy_in_response_to_challenges\"><\/span>Hybrid data strategy in response to challenges<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>How to remove information barriers? How to fit different solutions and analytical platforms? Where to find support for the transformation of data strategy that affects business development, experience of employees but also end users?<\/p>\n\n\n\n<p>Discussing hybrid data platforms, panellists <strong>Milan Bukorovi\u0107, Chief Technology Officer at Nelt, Ivan Karlovi\u0107, Director of Analytics and Data at Norwegian Airlines and Dimitar Dilov, Chief Risk Officer at Raiffeisen Bank<\/strong> shared their experiences gained through numerous enterprise transformation projects. The panel was moderated by Aleksandar Nedeljkovi\u0107, Chief Business Officer in Mainstream.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/mainstream.eu\/wp-content\/uploads\/2021\/09\/A7307743_optimized_2_850x-1.jpg\" alt=\"hibridne data platforme\" class=\"wp-image-10327\"\/><\/figure>\n\n\n\n<p>For Nelt, a leader in distribution and logistics, a data management strategy has proven to be a way to create added business value from a pool of information.<\/p>\n\n\n\n<p><strong>\u201cNelt has defined the need to conduct a <a href=\"https:\/\/www.mainstream.rs\/en\/case_studies\/nelt-group\/\">digital maturity assessment<\/a>, which we conducted in collaboration with Mainstream and Microsoft experts. One of the conclusions was that our company deals with a large amount of data from which it does not create business value, at least not completely,\u201d explained Milan Bukorovi\u0107.<\/strong><\/p>\n\n\n\n<p>According to him, NELT saw that the transformation of data, i.e the manner of data management and analytics, is the backbone of a broader transformation \u2013 the way of operation. But the road from achieving to setting goals is a long one and there are many factors to look out for such as knowing the data the company generates, form (whether structured or unstructured data), decisions about where to store and for what to use data.<\/p>\n\n\n\n<p>Instead of combining data into one system, a hybrid data strategy allows companies to store data in structures that best suit their purpose. Ivan Karlovi\u0107 emphasized that the possibility of choosing data management today is greater than ever.<\/p>\n\n\n\n<p>\u201cEverything used to be kept on-premise. Today, there are great combinations of our own and cloud technologies, which Norwegian Airlines has recognized as strategically important, \u201csaid Karlovi\u0107, illustrating with his own example that bad times are a good opportunity to consider business analytics.<\/p>\n\n\n\n<p><strong>\u201cI joined Norwegian Airlines 17 days after the first Norwegian lockdown. Even then, in the unknown, our CEO for analysts said it was something we had to do. We need to build the foundations, choose the right platforms and technologies to create value later.\u201d<\/strong><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"How_to_choose_the_right_technologies_and_partners_for_data_transformation\"><\/span>How to choose the right technologies and partners for data transformation?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>\u201cIf a tool cannot be easily integrated into our business, it is not a good tool for us,\u201d said Dimitar Dilov. Speaking about the specifics of the banking sector he comes from, Dilov emphasized the importance of compliance with data-related regulations, such as the General Data Protection Regulation (GDPR). As he said, the requirements are very strict, while internal analyses can create compromises.<\/p>\n\n\n\n<p>As it strives to meet the requirements of \u201ctwo different worlds\u201d, Raiffeisen Bank uses a wide range of analytical tools, as well as two cloud platforms: <a href=\"https:\/\/www.mainstream.rs\/en\/services\/cloud-services\/public-cloud\/amazon-web-services-cloud-management\/\"><strong>Amazon Web Services<\/strong><\/a> and <a href=\"https:\/\/www.mainstream.rs\/en\/services\/cloud-services\/public-cloud\/microsoft-azure-cloud-management\/\"><strong>Microsoft Azure<\/strong><\/a>. On the other hand, Norwegian Airlines is striving to establish a single cloud solution. For this company, the choice of cloud partners was based on the ecosystem of partners \u2013 providers of analytical solutions.<\/p>\n\n\n\n<p>\u201cThe fact that we use the same cloud as our provider makes us more agile,\u201d concluded Ivan Karlovi\u0107, adding that platform support for the use of analytics is crucial.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Data_platform_architecture_ETL_or_ELT\"><\/span>Data platform architecture: ETL or ELT?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>When it comes to data platform architecture, companies can choose between at least two paths \u2013 ETL and ELT. The main one between these approaches is where the data is transformed. In the first model (Extract, transform, load) the transformation occurs before the data is loaded into the Data Warehouse, while in the second (Extract, load, transform) the data is entered without any formatting and transformed in the Data Warehouse itself. How to choose an adequate model and what was the experience of a system like Nelt, which generates up to 10,000 transactions and invoices per day?<\/p>\n\n\n\n<p>\u201cETL or ELT? It is individual and depends on the current environment, digital maturity and other factors. We had long discussions about that before we concluded that ELT suits our model,\u201d underlined Milan Bukorovi\u0107.<\/p>\n\n\n\n<p>Perhaps the biggest advantage of the ELT model is the loading speed as well as the availability of raw data that has not been transformed before loading into the Data Warehouse. The final choice, however, depends on various factors such as the existing network infrastructure, budget and the extent to which the company already uses cloud and big data technologies.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Organization_for_optimal_data_strategy\"><\/span>Organization for optimal data strategy<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>The business community is aware that the most important thing for the use of analytical technology platforms are people. There is no doubt that the data scientist is a rising profession, but even users who do not specialize in the field of data need to improve their knowledge.<\/p>\n\n\n\n<p>\u201cWe see an increasing demand for people who know new technologies such as the cloud and data processing tools. In the domain of risk, we started to motivate our people to go to trainings, get certificates. We want to internally increase the awareness of our people in the bank about data and to encourage them to develop data skills,\u201d explained Dimitar Dilov.<\/p>\n\n\n\n<p>The same line of \u201cawareness raising\u201d is applicable to company management, which sometimes remains in the dark about the value of business analytics. In that domain, as Ivan Karlovi\u0107 pointed out, small victories on the road to data transformation should be presented to the management. The last, but not the least, item is communication.<\/p>\n\n\n\n<p>\u201cEverything we do, we do for business, not technology. This is where we come to the challenge of change management \u2013 people are used to working in a certain way, they are used to certain tools,\u201d said Milan Bukorovi\u0107, adding that clear communication is necessary to introduce any changes in the work environment.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/www.mainstream.rs\/wp-content\/uploads\/2021\/08\/shutterstock_578217358-1024x527.jpg\" alt=\"\" class=\"wp-image-9048\"\/><\/figure>\n\n\n\n<p>One of the conclusions of the panellists is that the organization of analytical projects is simpler today thanks to <strong>cloud technologies<\/strong>. Companies no longer have to engage in complex implementations of tools that they may not even use, but can try them out and dynamically change plans on the cloud. Cloud platforms certainly support agile development, reduce capital investment, and are one of the important elements of a hybrid data strategy. The only question is whether the company has the technological and industrial expertise to get the most out of the cloud and put it at the service of its data transformation. If you need support in this domain, our cloud experts are here to advise you.<\/p>\n\n\n\n<p><strong><a href=\"http:\/\/mainstream.eu\/en\/contact-us\/\">Contact us.<\/a><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The reasons for using the legacy system in the digital age are often more than legitimate.<\/p>\n","protected":false},"author":4,"featured_media":23882,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[311],"tags":[312,313],"class_list":["post-23881","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-en","tag-cloud-strategija-en","tag-hibridne-data-platforme-en"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>How Innovative Companies Create Value from Data | Mainstream<\/title>\n<meta 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