Legacy BI vs. CXAIR: The Search Engine Evolution

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At a time where up-to-date information from around the world is readily available regardless of time or computing proficiency, why should business intelligence (BI) be any different? Reliance on professionals to decode seemingly endless streams of disconnected data must be challenged.

Built in response to the increasingly outdated ‘legacy BI’ systems, CXAIR offers a unique and innovative solution that allows users to self-service their data in a unified environment without prior knowledge of specialist programming languages like SQL or MDX. Forget the archaic acronyms; CXAIR’s evolutionary design gives users unprecedented ease of use without sacrificing any analytical functionality.

Search Engine Technology vs. Legacy BI

The answer is simple: search engine technology. Data is first unified irrespective of the source system or file type and is then fully accessible to users through ‘natural language’ search. In practice, if a user can search the internet using Google, they can search their data using CXAIR.

By having the data available as a searchable index, suboptimal data entries that do not match across all systems can not only be bought to attention, but fully navigated around and incorporated regardless of anomalies. This flexibility is in stark contrast to legacy BI technologies, such as those based on OLAP, that only offer ridged and limited reporting on a single source of matching data entries that, if not uniformed, will not display correctly in future reporting.

Another advantage of CXAIR’s indexing approach over traditional tools is the performance increases that are immediately apparent to the end user. The unnecessary bottlenecks and subsequent waiting times associated with crunching numbers across a vast data source are a limitation of old and outdated software; legacy BI solutions simply do not reflect the processing potential of even the most rudimentary of commodity hardware configurations. CXAIR offers a cost effective model to businesses by challenging the notion that IT department budgets have to grow along with the amount of data being processed.

Utilising both Structured and Unstructured Data

Discussed previously, the increase in data collection across the globe has led to the demand for unstructured data to be incorporated into future data analysis alongside the traditionally ‘computer-friendly’ structured data. Using this information would allow far more insight into behaviours that simply cannot be measured using traditional data sets, such as detailed customer sentiment reporting.

Utilising and reporting on this information alongside pre-existing structured data is simply not possible using legacy BI technologies due to the necessary programming language embedded into the program structure. CXAIR, however, can not only decode and analyse unstructured data sets, but directly relate the information to its structured counterparts.

The Search Engine Evolution

Why not make 2016 the year you challenge the preconceptions of business intelligence and data analysis; upgrading to CXAIR is only the start – you may discover your data holds more insight than you ever thought possible.

For more details, visit our product page for an overview of features, case studies and testimonials.

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