The global market for big data and analytics is growing worldwide and is expected to experience double-digit growth by 2020. More and more companies are realizing that in a highly competitive environment, an intelligence reliable and real-time data is essential for: success It's not about the amount of data a company has, but whether the relevant data is available to a wider audience (at a time internal and external) and in multiple contexts such as applications, partner portals, and public and client websites.
This drives the search for comprehensive and agile approaches to data integration and analysis, paving the way for integrated analysis. Businesses that need in-depth data analysis, real-time data integration from disparate sources, and better access to analytics as part of a product offering need to integrate more and more with analyze directly in their websites and business applications.
For example, the Sydney Insurance Supervisory Authority introduced the Employee Compensation Scorecard as part of a larger open data initiative. A Qlik app for the presentation of compensation data for New South Wales, which aims to better understand the state of work-related accidents, including compensation, and increase transparency and accountability by accessing to government data.
Whether you are a government representative or a company listed on the ASX, there are various aspects to consider when embarking on an integrated analytics adventure. Most importantly, leaders need to remember that they must enable real-time traffic across multiple environments to properly use integrated analysis.
This ensures that the data is displayed to the right people with the right skills at the right time.
As with many innovations, the path to integrated analysis is well-intentioned. Managers eager to provide data to their teams need to focus on three components for their integrated analytics platform: the ability to embed, develop and improve their data.
Integrated everywhere.
An analytics platform must be able to access and load data from multiple sources, supporting all relational database formats, as well as Big Data systems and cloud applications. The platform must also be able to easily transform and model the data extracted from the source systems and loaded into the analysis platform. In this way, you can work flexibly with different data sources.
Analyzes must be ubiquitous.
User interfaces in business applications, portals, and Web sites need to be enhanced with analytics capabilities that enable more users to understand and use data strategically. In addition, the analytics platforms must support a set of modern, open APIs that organizations can use to develop and customize their platform without changing their base code.
Improve the user experience.
To increase the return on investment, employees need to be very involved, recognizing the value of an instrument, knowing how it works and using it. This requires the creation of an ideal user experience by adapting not only the functionalities, but also the graphical aspect and the integration of the workflow of the analysis platform. Users should also be able to comment on the records they use and see if receiving certain data at a given intersection would improve their decision-making.
Integrated analysis is an important tool that leaders can understand and use. Ultimately, it enables users to evaluate and process relevant and up-to-date information through a powerful interface that uses data strategically. If properly done, the integrated analyzes will ensure better informed employees and better matched partners and suppliers. In addition, companies can access new markets, generate new revenue streams, build customer loyalty, improve their competitive advantage and promote product adoption.
No comments:
Post a Comment