The technology available to consumers and businesses today is creating a colossal amount of data across every touch point. Making sense of all the structured and unstructured data can be overwhelming if the right tools are not implemented and executed properly. As the use of big data increasingly becomes a necessary component in today's business environment, being proficient in big data analytics can go a long way in improving overall operations. Attivio, a provider of data analytics solutions, has released a new version of its Active Intelligence Engine (AIE), with a new unified access module that simplifies fine-precision content searches and gives more control to non-technical business users.
Predictive analytics requires bringing information sources together to make a prediction that is meaningful to the organization. Companies in many industries are struggling to bring their information together, but the unified information access platform by Attivio aims to integrate and correlate silos of structured data and unstructured content to provide actionable business insight. It features classification, regression analysis and pair correlation capabilities that make it possible to quickly provide actionable data across all resources.
Although the complexity of big data analytics can discourage some organizations from adopting this technology, the Attivio AIE business features let non-technical business users:
- Take more control over search queries and the information displayed at the time of the query;
- Redirect and reorder the ranking of displayed search results;
- Create promotions and campaigns on the fly within date ranges;
- Define segments and context to target specific sets of users within a set time;
- Easily "drag and drop" code through a simple business user interface;
- Quickly import information from spreadsheets; and
- Manage dictionaries for synonyms, acronyms and internal naming conventions and ontologies.
Obtaining results that can provide insight from all of the data an organization gathers requires overcoming the traditional predictive analytics error rates. This is accomplished by more accurately reflecting sentiments along with actual behavior. According to Attivio, the solutions it provides are able to locate smaller pieces of goal-oriented information within and across documents and records for fast, precise results and analysis, giving organizations greater control over the online search experience they provide to internal and external users.
Edited by Blaise McNamee