Business intelligence teams and IT experts have to contend with an explosion of data sources in today’s big data world. The continued technological evolution translates to an unprecedented diversity and amount of valuable data from wide-ranging sources. The future of data analytics depends on how businesses will tap into such diverse cloud-based data sources.
The Opportunities and Challenges
Cross-data developments will translate to the following opportunities for your organization.
- An expanded big data ecosystem– The multiplicity and diversity in big data sources mean that you will have access to even more valuable data through which to produce smart business insights that guarantee success. Effective cross-data analytics will provide your organization with a holistic view of the business through cloud based access.
- Possibility for a cross-analytics pipeline– The establishment of data pipes and warehouses to which you can tap into using SaaS applications will mean that you can undertake meaningful cross-data analytics. Such analytics will help boost your performance and meet your organizational goals.
However, taking advantage of cross-data developments comes with significant challenges for business. The main issue lies in the difficulty in establishing a coherent reporting system, where establishing a simple data warehouse is problematic. Creating one consolidated location proves challenging owing to the diversity in the sources of data.
Implications Of Cross-Data Developments For Database Experts
Whereas the possibility of cross-data analytics would be beneficial to businesses, the challenge faced in creating a data warehouse is a headache for business intelligence and database experts. However, several developments mean that cross-data analytics is not an impossible proposition.
The solution lies in establishing a tool for rapidly automated movement of data according to your organizational architectural goals. With such a system, you will be able to use a consolidated location that centralizes all your data regardless of diversity in data sources. The resultant system will allow you to use SaaS applications in accessing the cloud based data warehouse system.
For database experts, the product providing such solutions for automation is one that allows transformation of data with every query, preempting the challenge arising from multiple source data. In such a product, the data remains in the analytics database and is transformed upon querying, which averts the challenges associated with complexity in cross-data analytics. As a result, users in your organization can then explore relevant data sets, with the possibilities even allowing for customization according to each user’s needs.