Open Data Initiative - ODI
Open Data Initiative - ODI
In this article, we discuss some basics behind the Open Data initiative, including potential benefits and pitfalls.
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Acknowledging the need and importance of friction-free customer engagement and significant experience, Microsoft has stepped up to launch the open data initiative partnering with Adobe and SAP. With ODI, the trio aims to enhance the customer experience offering a more personalized profile. It entails the likelihood where data from different kinds of channels can be clubbed together to build a streamlined user profile in real-time. This can be regarded as the initiative to redefine customer experience management.
Why Such an Initiative and Why Now?
There have been tons of debates questioning the need for this partnership and the likes of an open data initiative. It is no doubt that data is ruling every business activity today. Companies have shifted from adopting a revenue-driven approach to customer-oriented undertakings. Technologies excel on the data front to build and deliver user-specific solutions. And this is just the start. According to a survey, there would be around 47k exabytes of data by 2020, and the number is only expected to rise.
With such a huge amount of unstructured data, organizations seek to invest in mining and get through the pain of data visualization. While the majority of the efforts put up in this field have been successful, one area where companies still face challenges and get knocked down is that of siloed data. The data is diversified and does not connect globally. To deal with the issue and circumvent the possibility of data discrepancy, Microsoft along with SAP and Adobe, announced a coalition among the three, facilitating the one data model or the open data initiative, to be specific.
The model is tailored to unlock all forms of data, utilize it and harmonize in a way that amplifies the extent of customer experience, boosting solution in real-time. With the launch of ODI, SAP S/4 HANA, Microsoft Dynamics 365, and Adobe Customer Experience platform can integrate the one data model, wearing off the company concern of siloed data. No wonder a unified model would give deeper value on data delivering unparalleled insights.
You may also like: Adobe, Microsoft, and SAP Open Data Initiative Details.
Features of the Open Data Initiative Model
A lot has been said about the open data initiative as being the one data model. All of the partnered companies aim to revolutionize the data-driven economy by embedding one channel data interaction for all, negating the siloed form of the architecture that currently prevails. There exists a bundle of issues that the model plans on solving but before delving in the what's, let's see the x-rayed view of the model, uncovering what's inside.
Unify Your Business Data
Incorporating a common data model layered on top of the single data lake for all soft of customer information, the ODI initiative help organization cut down on the unwanted expenses and discard the siloed form of architecture. This, in a way, facilitates better utilization of data.
Enable AI-Driven Insight
Embedding the technology of artificial intelligence, the ODI model helps the organization gain a better understanding of data and likewise, business operations. Using the model, you can have 360° of the customer's data and use it to drive insights in real-time which further can be used to make intelligent decisions and scale the business high.
Enhance Your Applications and Services
ODI creates an infrastructure where an organization can harness the true potential of data enriching customers' experience by integrating significant services and applications.
Empowering Business Processes Through Real-time User Data
While some may debate the significance of such a foundational model of data, we highlight the top two prospects that cajole organizations to adopt a similar initiative.
Eliminate Gaps In Data
Every organization or every channel has its own form of data collection and storage units. While this might be helpful for the organization in hand, it created data discrepancy when the exact same user feeds information on a different site, maybe in a different language. To deal with this, ODI proposes the creation of a centralized data system where only one data is stored for a particular user.
This form of amalgamated data enables a smooth transition of the same between different companies. All of the consumer-specific information would be stored in a secured lake, hosted by Microsoft Azure and then accessed by partnering teams as and when required.
It's needless to say that such a move would give organizations the ease to use massive data volumes for building customized campaigns, understand better and upscale their consumer experience.
Enhanced Customers Engagement
To date, organizations have been using CRM software to gain user data and put it to use for delivering efficient customer service. What the system lacks is its ability to have an all-round view of the customer's behavior. Instead, it is designed mainly to help marketers plan on advertising and crafting personalized campaigns. Though the software is both systematized and coherent, yet fails to track end to end consumer experience.
ODI helps deter this disparity and incorporate a unified form of architecture where organizations, irrespective of their aim, can have a 360° view of user information. Ostensibly, a revolutionary step to magnify data usage across multiple platforms.
No doubt, all of this seems pretty fascinating and might for once, influence you to step ahead and join the force. However, it easier said than done. Considering the fact that organizations have unique ways of storing and managing customers' data, collaborating on a global scale calls for major challenges. Merging spreadsheets of two different organizations with different basic is the biggest of all.
Though the intervening organization has yet put up any clear road map, the idea is ambitious and it's time that organization talent their first step towards the adoption of the unified data system, disregarding the challenges that remain in hand. With millions of pieces of data being fed in a system each day, using the same to garnish customer experience would reap benefits both for the user and the organization.
Published at DZone with permission of Nisha Patel . See the original article here.
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