Data, you Trust

In the fall, Sanna Uusimäki started as a data architect at Cloud1. She already had over ten years of experience in data and analytics. She has mostly worked as a consultant in large global companies. The bold leap to something new was softened by the fact that Sanna already knew experts, whose professional skills she respects, were working at Cloud1.

A Similar Understanding of Data Unified

Sanna explains that a shared understanding of data processing and refinement with her colleagues made Cloud1 an attractive employer. The opportunity to train as an Azure specialist also sounded appealing. The Data Hub concept developed at Cloud1 represents a way of thinking that she can easily endorse.

"In Cloud1’s Data Hub model, data storage, processing, and distribution are implemented with principles that enable the use of data across organizational boundaries and for both current and potential future needs. We’re no longer limited to just distributing business data internally, but can make data a part of the customer’s business,'"Sanna summarizes.

Sanna describes that in addition to practical benefits, the data processing model according to the Cloud1 Data Hub concept makes data in a certain way more democratic. She clarifies this point:

"In a more traditional approach, data is processed quite extensively before it can be used or presented. It's common for data to be tightly held by a specific unit and collected for a specific need. This leads to the formation of disparate data silos. Then, utilizing data for different organizational units or various business needs isn’t possible without starting the whole process over from the beginning. This makes it difficult to form a complete picture, and a single truth from the data cannot be established."

In the Cloud1 Data Hub model, the original data is taken in as raw as possible. The data remains available, and its use for different needs or perspectives is also possible later. We can always return to the data and examine, for example, what rules have been used to arrive at a certain result.

Only Reliable Data is Worthy

Sanna describes that although data awareness is growing, many players still have a lot to do with Data Governance. In many organizations, Data Governance is still in its infancy, although gradually, for example, business vocabulary or the possibilities of using tags and other metadata are becoming more common. The goal is to achieve a shared understanding of data content and purpose.

"You only have access to data that you can trust."

Information management means the management of the data available to an organization, covering everything from conceptual and data models to data warehousing, architecture, roles, and processes. Its key task is to ensure that data is as standardized as possible, wherever feasible. The data must absolutely be reliable so that decisions and solutions based on information, often critical ones, can be made and their impacts monitored. 

Data into New Business

Right now, Sanna is particularly fascinated by projects where data enables new services – new business ventures. To create something new from data, the foundation must be based on knowledge of what data is available, in addition to having a functional platform for data processing.

The data economy enabled by cloud platforms brings along business models and services that couldn't be offered before – classic examples are Netflix and Airbnb. You can find examples of solutions implemented by Cloud1 here: Case Alko Oy. 

Fair Workplace

The leap to a new job was worth it. At Cloud1, it's possible to influence everything, and each colleague is known personally. This also means that tacit knowledge moves easily and quickly.

Sanna is particularly pleased that she now has the opportunity to work with several clients at the same time, allowing her to hear feedback from multiple customers simultaneously. Comparisons enable broader accumulation of knowledge and, on the other hand, agile application of good practices in practice.

It's good to work in a fair team. 

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