As data technology and analytics tools continue to evolve, singular data infrastructure, which was once the most popular data architecture as organizations moved to the cloud, is rapidly becoming outdated. Multi-cloud infrastructures have since gained more popularity and importance as the pandemic forced businesses to react and adapt to different ways of working and acted as the key catalyst for the introduction of hybrid working.
This rapid evolution of working models has made adjustments in employee’s expectations around data. According to the Office of National Statistics, 85% of employees currently working from home want to have a hybrid (both home and work) working style in the future – this demand alone puts pressure on businesses to create a working environment where all workers can access business critical data on the move.
Also Read: CIOs Improve Vendor Management Strategies
Data democratization involves processes to make digital information more accessible and understandable in order to make decision-making more efficient across entire businesses. This gives organizations a competitive advantage, as the more people increase their expertise on accessing and understanding data, the easier and quicker critical analysis is made for decision-making. IT departments shouldn’t be the only team exposed to data, instead it is essential for every employee to be able to access information in order to make quick and efficient strategic decisions, at every level.
Now more than ever, multi-cloud is becoming the most popular data architecture. There is no longer a singular infrastructure winner; even organizations with a preferred cloud infrastructure need insights across multiple platforms, such as AWS, GCP, Azure, Snowflake and native SaaS. However, every platform is built differently – with varied components, functionality, pricing, policies and more. These differences mean you need different tools to support the various types of data needed for everyday and strategic decisions, which multi cloud architecture can help solve.
Data is and has always been a vital aspect of organizations. Changing data architecture and increasingly involving employees with data inevitably shifts business models and results in more efficient processes. But what implications will this have for those hybrid-working? Data from over 1,000 respondents at Big Data LDN 2021 reported that:
- 48% of respondents think data siloed in different departments is the single biggest data challenge they face in their current role, and over 20% said there is too much manual effort involved in data processing.
- 12.5% of respondents believe they don’t have the right data to make important decisions, and 10.5% believe they can’t fulfill data requests fast enough.
- 84% of respondents believe self-service analytics through a platform is the answer to achieving agile business intelligence yet 50% said it is not currently a priority for their organization.
Based on these statistics, having enough data, automating data processing and comprehension of data are key aspects to achieving agile business intelligence and automation. Keeping data siloed in different departments puts more of an emphasis on the boundaries between employees and departments, and in turn poor decision-making. Therefore, business leaders should work to dissolve these limits to increase employee’s expertise and optimize operations. Moreover, the manual effort involved in data processing would be accelerated and employees can gather and analyze data autonomously, from anywhere, i.e. employee’s homes. Constructing a data-literate workforce through data democratization and multi cloud architecture will help streamline operations and deliver quicker and meticulous decisions.
Integrating data can help achieve data agility and can be applied to different departments, solving various data barriers. At Domo, we believe everyone in your organization should be able to access, understand and most importantly act on data more efficiently in everyday work. Business leaders should capitalize on this and start prioritizing data democratization, especially in the work from home/hybrid environment we are largely moving into, to acquire a competitive advantage.