July 14, 2016 | Written by: Alison Frederick
Categorized: AI for the Enterprise
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How do you manage, search, and process data to turn it into usable information?
High-achieving organizations recognize that the road to success is paved with information that is used to provide valuable insight to the business. Information is an asset capable of driving decision-making, accelerating productivity while reducing risk and signaling opportunities with customer relationships.
While businesses know that this information is valuable, searching for an advanced enterprise search data solution can be the main obstacle for many and even a deterrent. To make this process easier, here are five key features to consider when trying to find a solution to help you explore, analyze and interpret information for better business outcomes.
1. Indexing and Research Capabilities
Powerful indexing and research is a critical part of your company’s success. In Entrepreneur’s 5 Characteristics Shared by Most Successful Organizations, Andrew Miller suggests, “When an organization shares important information across the organization and applies that information to improve results, that is applied wisdom. Applied wisdom is sharing internal best practices and knowledge about customers across departments. Strategy is communicated all the way to the front lines and successful practices are replicated across the organization.”
Communication within your organization is very important for critical information to flow effectively. Giving employees access to the information they need can be the ticket toward optimal communication, regardless of what format or how it is managed. It is important to look for a solution that combines content and data from systems throughout the enterprise and presents it to users. This reduces the amount of information look-up time, and increases work efficiency.
2. Access to Information
It is very important to look for a solution that provides the ability to leverage the power of the hybrid cloud. This allows for transparent access to information and other computing services regardless of where they are located– on-premise, in public or private clouds, or as part of Internet information services.
3. Advanced Content Analytics
Content analytics allow enterprises to extract meaning and insight from natural language content such as customer comments and research reports and to use those insights to streamline business operations, uncover risk, gain a better understanding of customers and make better decisions. In the recent Forrester Wave Report, Watson Explorer ranks as the top leader in Big Data Text Analytics compared against 200 competitors across 20 criteria. Recognizing the platform’s unique capability to provide a single solution for both Unified Information Access/Search (UIA) and Unstructured Content Insights (Analytics) use cases. Saying, “Watson Explorer can seamlessly ingest and process structured and/or unstructured data, and perform search or analytical queries.”
4. Cognitive and Information Analysis Capabilities
Advanced content analytics capabilities provide benefits such as revealing trends, patterns and correlations from documents, social media content and other human communications. Cognitive capabilities in your systems can have a dramatic effect on results.
Intelligent solutions go beyond looking for search words in close proximity. They analyze the intention of the statements much like a person does. For example, reading “that mess was incredible,” a cognitive system will not interpret the mess as wonderful or amazing. Effective natural language processing tools will read other statements concerning that mess and classify that statement as negative rather than praising that mess. Context matters.
5. Information Architecture
The increasing volume, velocity and variety of data can put stress on the capacity and performance of software and hardware systems. Systems designed without forethought about the demands of big data tend to fail or require unsustainable effort to deploy
and manage. Look for a system built on a modern architecture that delivers benefits in relevance, flexibility and maintainability, to meet the demands of working with big data.
Move to the cognitive era
Stop limiting your search to traditional data sources in the new, non-traditional data world. Leverage technological advances such as deep search and exploration, advanced content analytics, and cognitive capabilities to get a unified view of the information you need, combining data from multiple internal silos and a variety of outside datasets including social media.
What features do you look for in enterprise data search solutions? Learn more about features and viable solutions in this whitepaper, “Moving From Enterprise Search to Cognitive Exploration.” Download your copy here.
“Moving From Enterprise Search to Cognitive Exploration.”