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Integrated analytics: The key to improving data management

Integrated analytics has improved data management and analysis. But there is so much more room to grow - learn more about it here.

Integrated analytics is the key to improving data management and analysis. While public and private organisations are interested in analytics, they have yet to fully embrace its full potential. Gartner predicts that private organisations not using data analytics in 2020 will be out of business in 2021. While public organisations don’t have to worry about going out of business, if they don’t advance their analytics capability, they will lose out on its benefits, like smarter resource allocation and lower operating costs. All this means that more companies are open to using analytics to make sense of all the information they generate. However, that alone is not enough, public and private organisations must take their analysis a step further with integrated analytics.

Integrated analytics and its benefits in data management

Data management is crucial for success in the modern era. So it stands to reason that organisations want to maximise the management of their potential with integrated analytics.

More efficient analysis

Integrated analytics sets the foundation for more efficient data analysis. While some analytics platforms make analysis easier, they are not integrated into data management software. The silos between analytics and software create several problems for the business. Having data analytics as a separate layer hinders productive efficiency because integrating data into management software is an extra step that can be easily avoided. Furthermore, there could also be compatibility issues between the data management software and the analytics platform, forcing data analysts to shift their focus away from analysis and towards fixing the problem (or at least working around it).

However, when analytics is integrated into data management, it makes for more efficient, timely analysis because integrated analytics removes problems, and streamlines the analytics process, allowing analysts to spend more time analysing data and less time working around system limitations. Indeed, most organisations are looking for analytics platforms that can integrate with already existing software, instead of changing their entire infrastructure to suit the analytics platform.

Flexible, real-time insights

Data analytics alone is not enough for private and public companies. They need analytics platforms to provide real-time insights. Real-time analytics is crucial because it provides a continual feedback mechanism to organisations and removing any silos in the analysis process. Flexible, real-time analysis allows organisations to future-proof their analytics capabilities because they are in a better position to respond to sudden and structural changes. Integrated analytics provides real-time feedback because it is embedded in the data management software. When analytics is embedded, processes like tagging, indexing, data migration and categorising can be done smoothly. When analytics is integrated into data management, it makes real-time analysis easier.

Analysis based on relevant business questions

When data analytics is more flexible, it allows organisations to target their analytics mechanism to answer only relevant business questions. Organisations need more than just analytics and data management software. They need flexible analytics software. The flexible nature of integrated analytics allows organisations to constantly monitor the data they are collecting and configure them when necessary. This is due to the continuous feedback mechanism provided by real-time analytics. Data analysts can then tweak the data collection and feedback mechanism to answer the most important business questions.

Furthermore, it becomes much easier to present the information to business executives who don’t have a background in data analytics.

Get a more holistic view of business operations

The ability to refocus business analytics to answer relevant business questions allows organisations to expand their insights and get a more holistic view of business operations. Most business analytics software can go-in depth into a single metric like revenue generated. It allows corporations to see which salesperson is generating the most money. However, by integrating analytics into data management, organisations are in a better position to collect data from different sources to get a better understanding of sales operations and activities. For example, instead of looking at revenue generated by a salesperson, organisations can see who has the most prospects for future sales or has the most positive feedback, to get a better picture of the overall sales operations.

Integrated analytics for smarter, more efficient data analysis

The days when data analytics were a completely separate platform from data management is rapidly coming to an end. Most organisations, be it private or public, want an analytics platform that can integrate effortlessly into the data management software because it makes analytics easier to work with, streamlines the entire process and eliminates unnecessary steps. Integrated analytics provides everything businesses are looking for in an analytics platform: Actionable, real-time insights without any of the lag in integrating it into their data management software, making it a must for businesses.