Business Intelligence leverages artificial intelligence (AI), real life experience, expertise and technologies to transform information into intelligence and ultimately into insights that empower organizations to make better, faster and more successful decisions that result in accelerated sales, compressed life-cycles
Data OnDemand equips customers to verify, validate, identify, enrich and communicate. Data OnDemand aggregates exclusive data sources to create solutions that add insight, create engagement, uplift contact volumes and improve success by providing data for tracing, verification, marketing and enhancement.
Data sets are increasingly wide and distributed – which poses a big challenge for enterprises, as all of that data needs to be inventoried and synthesized. Left to its own devices, data can go stale fast. Data catalogs can help, so it’s no surprise that demand for them is skyrocketing.
Market mapping is a systematic way to approach a given market in a way that strategically combines timing, content and delivery to optimize outreach. Business Intelligence optimizes marketing efforts that increase operational, prospecting & sales efficiencies.
Search and voice, powered by chatbots, have emerged as powerful interfaces to query data – especially with mobile applications. But they aren’t enough. Organizations need to combine natural language with tried-and true approaches for data query, such as visual analysis and filtering in dashboards, to build the foundation of a multi-querying environment.
Business intelligence (BI) is the collection of strategies and tools used to analyze business information. Business intelligence projects are significantly more effective when they combine external data sources with internal data sources for actionable insight. Business Intelligence compresses selling life-cycles, directs sales processes and optimizes resources.
The need to handle different types of data has driven an explosion of databases. Access to both structured and unstructured data types, and integration between them is key to enabling different data sets to be managed in different ways and according to latency requirements supporting strong governance models.