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Cloud migration? But first data modernization
IT infrastructure nowadays needs to meet enormous expectations coming from the rapidly changing business processes and requirements. The proper storage and management of the company’s data and information asset is evidently among the leading factors to consider when creating or redesigning IT infrastructure. As the pace of moving to the cloud accelerated it is even more important to examine the possibilities of data modernization and scalability.
However budget concerns, insufficient understanding of technology, lack of consensus among decision makers and unclear metrics are often thoughts as burdens accompanying data modernization, revealed in a research1 last year. Through exhaustive planning and preparation all the concerns can be addressed so cloud migration fuelled by data modernization could be an organized and understandable process helping companies to reach a higher level of digitalization.
Softline experts are here to support you via a unique video series where you can learn about modernization and easy scalability of your data estate with the help of Microsoft Azure. Each session covers a specific aspect of data modernization, providing both an overview and a step by step guide to the process. Here are some topics you can learn more about during the program:
- Modernization of data through on-premise, cloud and hybrid solutions with flexible and effective methods, tested and proved competences
- All the benefits of Azure including low cost of ownership for fully automated intelligent database services in any type of cloud
- Overview of tools, guidelines and proposals to cost effective and flexible data modernization
Softline provides customers with access to a huge archive of successful digital transformations in a wide variety of industries. Practical, measurable benefits and real returns can be expected to customers irrespectively of the current level of digital transformation.
1.Deloitte survey: https://www2.deloitte.com/us/en/insights/topics/analytics/data-modernization-and-cloud-migration-initiatives.html
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2021.10.06Facing the Future of Manufacturing -
2021.02.18Zaščitite svoje datoteke in elektronska sporočila z Microsoftovimi oznakami občutljivosti (Microsoft Sensitivity Labels) -
2020.12.08S storitvijo Azure HealthCheckup podjetja Softline lahko optimizirate zmogljivosti in stroške storitev v oblaku -
2020.09.02Get the Most out of your Business Using End-User Analytics
The world is changing. Manufacturers need to transform the way they work. Up to 2.4 million manufacturing jobs could remain unfilled between 2018 and 2028 due to inadequate skills. The structure and execution of talent processes will need to be re-thought and built around the realities of a likely protracted and uneven recovery, to continue achieving desired business outcomes as well as inclusive employee experiences. Read the summary of Microsoft’s ebook called “Facing the Future of Manufacturing” and learn how manufacturing companies can move confidently into the next normal.
Vsi želimo vedeti, kje vse so shranjeni naši podatki, tudi zato, da nadzorujemo, kdo jih lahko vidi ali ne. Oznake občutljivosti, ki jih zagotavlja rešitev Microsoft Information Protection, omogočajo organizacijam, da razvrščajo in varujejo svoje podatke s pomočjo oznak, ki jih digitalno dodajajo datotekam in elektronskim sporočilom.
Uporaba storitev v oblaku zelo hitro narašča, saj podjetja vedno več denarja vlagajo v te storitve. Storitve v oblaku zagotavljajo agilnost, večjo varnost in manj stroškov, vendar se nekatera podjetja še vedno ne zavedajo koristi. Storitev Azure Health Checkup podjetja Softline vam pomaga ugotoviti, kako lahko spremenite okolje Azure in zmanjšate stroške, optimizirate zmogljivost in zagotovite ustrezno varnost ter zmanjšate tveganja glede skladnosti.
Now that lots of companies have chosen hybrid remote work it is necessary to know how employees are using their computer and follow their work’s efficiency. Choose end-user analytics and monitor all the factors that impact end-user experience directly from the digital workplace, then improve efficiency through data analysis.
