Restore Data Consistency In Every Department Of Your Organization
Enterprises that have large suites of technologies such as automation, AI, data analytics and machine learning are often tagged as the stalwarts of the market. Undoubtedly, their approach towards efficiency, productivity and management of business operations is better than the others owing to the availability of technology. But, these virtues don't necessarily depend on the number of digital solutions that an organization is capable of incorporating. The cause of disparity amongst these companies might not stem from any external conditions. Data inconsistency within the organization itself might be one of the greatest reasons leading to inequalities in your employees’ proper use of AI and automation tools and reskilling initiatives.
Challenges of Data Inconsistency
According to research, about two-third of the enterprises work with a blend of cloud and on-premise data storage systems. While this might seem like a practical solution at first but, when you dig deeper, you would come to realise that this blend is scattering the data all over. In fact, these systems intensify organizational silos and fail to support business goals in the long run. This automatically hints at the verity that the workforce of these businesses have unequal access to data and fall short at being at par with their competitors.
Apart from this, uneven access to data creates a lot of hindrance in terms of data-driven decision-making. Understandably, when the employees of an organization are not on the same page as far as data transparency is concerned, collaborating and formulating valuable decisions is almost impossible.
In order to cope up with these shortcomings, companies tend to outline a roadmap that has pit stops of services and solutions employed according to the present business capabilities. Cloud technology allows businesses to maintain a continuous flow of data from its sources to the users in real-time at scale and across all departments. Moreover, cloud-based tools and software are capable of replacing multiple standalone, costly systems that have been breaking down simple tasks into innumerable complicated steps and hampering speed, productivity and creativity. This scalable, elastic infrastructure can amplify digital experiences and adopt changes much faster along the journey than any other solution.
Essentials Of Restoring Data Integrity In an Organization
Using an All-In-One Platform
First things first, all the departments of a company can have equal access to data only when there is a single platform for integrating and skimming through information. A cloud-based tool such as Microsoft Dynamics 365, Power BI or even Azure Synapse can streamline data and present them in real-time through interactive dashboards. The entire process of gathering structured and unstructured data, sorting them to only derive the high-quality shreds and analyze them for generating actionable insights should be supported by a cloud-based solution. After establishing a single point of truth for all data, each department of the company can design customized dashboards depending on their needs, and track and monitor important changes made in the data inventory without investing much time.
Automated Data Cleaning And Maintenance
As per statistics, unstructured data can account for 50-80% of the losses borne by a company in a data project failure. The impacts of this might appear glean during the initial days but, decision-makers start noticing their implications once they start opening doors to costly, irrevocable issues. This is why cleaning data so that it can be translated into something valuable and profitable is necessary for ensuring steady growth of your business.
Powerful cloud-based business intelligence systems can automatically detect and rectify data inconsistencies to maintain data integrity across departments in an organization. Additionally, a proactive system would refine information and record the outcomes in a centralized data repository to keep up its quality until it is wholly discarded.
Improve Data Security For Validation Metrics
There shouldn’t be any debate about the fact that data analytics is one of the most vital technologies that a company should leverage to secure a top spot in the market. Collecting relevant information and assessing them to spot hidden trends and customer patterns to evaluate the performance of an existing service and predict future demands is crucial. Therefore, to make certain that your company’s data is duly protected and translated into high-quality information, setting validation metrics that would allow the administrators to control the data that is being updated in the record is decisive. The validation metrics offer an extra layer of data protection for quality assurance and accurate data analytics.