Extract insights from data and improve the speed and quality of decision making

Social Media Monitoring and Analysis

Social media monitoring is the systematic observation and analysis of social media contributions and dialogues in public discussion forums, blogs, micro-blogs and social networks. It provides its customers with a quick overview or insight into topics and opinions in the social web. In contrast to single social media analyses and/or those that are conducted at regular intervals, social media monitoring is carried out continuously. Social media monitoring involves text analysis, web searches, sentiment analysis and content management.

Business Value

The business value of social media monitoring is found in understanding consumer desire, and response to a certain product or an entire enterprise. There has been an explosion in the number of social media monitoring technologies, and the ability to get value from those comes from the ability to understand the outputs of the program. When social media monitoring is done well, the software allows companies to be more responsive to customer complaints, and solve their problems in a much shorter time period. Social media monitoring can be integrated into customer communications management to allow employees to trigger the creation of documents or surveys based on consumer response.

Iknow has deep expertise in all aspects of social media monitoring from initial requirements gathering, to design and development of dashboards, to system deployment and customization. Iknow's experience in sentiment analysis and data visualization enhances our projects in social media monitoring. Iknow has the ability to handle social media monitoring projects of any size, and has managed project that have dealt with thousands of comments and data points daily.

Text Mining/Text Analysis

Text analysis and text mining software automatically “read” huge amounts of text in unstructured electronic documents, databases, and repositories. The software extracts relevant information specific to a user’s query or requirements and provides the results in any number of database or visual formats. Text mining software offers a wide variety of text analysis capabilities, including compiling, filtering, reasoning, data extraction, automatic database population, and automatic summarization and metadata creation.

Business Value

Business value from text mining and text analysis arises from the software’s ability to navigate large unstructured information sources quickly and accurately. The software can automatically index new data as it comes into the system. Application areas include news, search, market research, competitive intelligence, and many types of due diligence. Business processes are quicker when data can be easily found, thus lowering the cost of innovation and change.

Iknow has deep expertise in all aspects of text mining from initial requirements gathering, to designing connectors to gather data, to integrating the software into search, to system customization and deployment. Iknow has experience in text mining projects of all sizes, from designing processes to choose the correct sentiment analysis system, to using text mining to enhance the enterprise search for large companies.

Product Landscape

The text mining/text analysis product landscape is complex and includes the following products. Iknow can help you evaluate and select the right software product to help you achieve your business objectives.

Statistical Analysis

Probability is the analysis of random phenomena, mathematical abstractions of nondeterministic events or measured quantities that may either be single occurrences or evolve over time in an apparently random fashion. If an individual tosses a coin or rolls a die many times, the sequence of these random events will exhibit a certain pattern. The business application of probability theory is to combat levels of uncertainty, because it allows for a larger breadth of data, and points to reasonable outcomes that may happen based on that data.

Business Value

Probability analysis is a powerful tool in risk management, because it begins to show what might happen as one works through the possibilities when considering change. Probability analysis is useful for any decision making process, and can increase buy-in when used to justify big or small changes. The system can also be used to eliminate wasted time and energy in a system by speeding decision making, and ensuring that all decisions are made on the basis of sound data.

Iknow has deep expertise in managing all aspects of probabilistic analysis and statistics projects from initial requirements gathering, to creating workable hypotheses, to collecting data from departments, to training individuals on systems, to customization and deployment of software. These projects are best integrated with models and simulations, business intelligence, business process management, and risk management. Typical probability analysis projects involve changes to distribution systems, and decisions upon investments in different departments or businesses.

Decision Support Systems

A decision support system (DSS) is a computer-based information system that supports business or organizational decision-making activities. DSSs serve the management, operations, and planning levels of an organization (usually mid and higher management) and help people make decisions about problems that may be rapidly changing and not easily specified in advance - i.e. Unstructured and Semi-Structured decision problems. Decision support systems can be either fully computerized, human-powered or a combination of both.

Business Value

There are possibilities and examples of building a DSS in any knowledge domain. For example, DSS is extensively used in business and management. Executive dashboards and other business performance software allow faster decision making, identification of negative trends, and better allocation of business resources. Through a DSS, all the information from any organization is represented in the form of charts, graphs in a summarized way, which helps the management to take strategic decisions. For example, one of the DSS applications is the management and development of complex anti-terrorism systems.

Product Landscape

The decision support systems product landscape is complex and includes the following products. Iknow can help you evaluate and select the right software product to help you achieve your business objectives.

Data Extraction

Data extraction is the act or process of retrieving data out of (usually unstructured or poorly structured) data sources for further data processing or data storage. The import into the intermediate extracting system is thus usually followed by data transformation and possibly the addition of metadata prior to export to another stage in the data workflow.

Business Value

Data extraction typically takes one of three approaches: (1) Using text pattern matching such as regular expressions to identify small or large-scale structure; (2) Using a table-based approach to identify common sections within a limited domain e.g. in emailed resumes, identifying skills, previous work experience, qualifications etc. using a standard set of commonly used headings; or (3) Using text analytics to attempt to understand the text and link it to other information.

Data Mining

Data mining, a relatively young and interdisciplinary field of computer science is the process of discovering new patterns from large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics and database systems. The overall goal of the data mining process is to extract knowledge from a data set into a human-understandable structure.

Business Value

Data mining's value comes from the ability to easily obtain timely and accurate information for decision-making purposes. Accessing information from these reporting environments often range from ad hoc queries to multidimensional analysis. While these forms of data analysis are excellent at answering the question or questions posed by the user, they do not provide any other insight. Individuals and organizations are recognizing that additional value may lie within the vast amounts of data that they are storing. By applying data mining techniques, which are elements of statistics, artificial intelligence and machine learning, they are able to identify trends within the data that they did not know existed. These techniques can be used for fraud detection, human resources, inventory logistics, defect analysis, business, and competitor and supplier intelligence.

Iknow has deep expertise in all aspects of data mining projects from initial requirements gathering, to database and data management aspects, to model and inference considerations, to post-processing of found structure, to creation of reporting dashboards, visualization and online updating, to system customization and deployment. We have experience managing data mining projects of many different sizes, from a small company trying to understand its own processes, to a large enterprise collecting and analyzing data over an entire competitive ecosystem.

Data Integration and Management

Data integration and management is a particularly broad subject, covering up to ten different areas: data governance; data architecture, analysis, and design; database management; data security management; data quality management; reference and master data management; data warehousing and business intelligence management; document record and content management; meta data management; contact data management. While a number of these areas are specific technologies disciplines, these deal with how data is stored, accessed, utilized, and analyzed.

Business Value

Data management and integration derives value from creating a central repository of information that can be searched and utilized by multiple people at once. Data is only useful when the data has been properly cleaned and normalized, the process of data integration must be combined with best practices in data quality management and database architecture. Data integration and management also takes value from the systems that are built on top of it. The larger the scope of data, the better information a system such as business intelligence has to work with, allowing for a greater breadth of analyses to be completed.

Iknow has deep expertise in all aspects of data integration and management from initial requirements gathering to design of database architecture, to data cleansing, to design of mediated schema, to system customization and deployment. Iknow has experience to integrate databases into other products such as business intelligence, customer intelligence, expert systems, and data mining. We have experience managing data management and integration projects of many different sizes, from creating and designing small databases, to integrating hundreds of databases with a web query that can search all databases at once.

Customer, Competitor, and Supplier Intelligence

Competitive intelligence is the action of defining, gathering, analyzing, and distributing intelligence about products, customers, competitors and related factors, to support executives and managers in making strategic decision. CI is typically the organizational function responsible for the early identification of risks and opportunities in the market before they become obvious.

Business Value

Business value for customer, competitor, and supplier intelligence comes from the knowledge of how changes may affect the market, how the market may affect your company, and what other competitors are planning. Consumer intelligence can be used to make decisions on where to apply innovation resources or training resources for service companies. Supplier intelligence can be used to find inefficiencies in the supply chain.

Iknow has deep expertise in all aspects of customer, competitor, and supplier intelligence from initial requirements gathering, to integrating intelligence into business decision, to process design and customization. Competitive intelligence does not exist often as a stand-alone software product, but Iknow has the technology experience to gather and integrate intelligence using text analysis, web spiders, and document analysis. Iknow can handle intelligence projects of any size from analyzing current market state to the potential effects of new products industries.

Data Visualization

Data visualization is the use of computer-based interactive visual representations of large, abstract data sets to help interpret and draw useful insights from the information. Data visualization goes well beyond producing simple charts and graphs; commercial visualization software constructs interactive graphical representations and provides a variety of analysis tools. The main goal of data visualization is to communicate information clearly and effectively through graphical means.

Business Value

Business value from visualization is achieved from more rapid interpretation of large data sets. The best implementations of visualization stimulate viewer engagement and attention. There are a number of different types of visualizations, including thematic cartography and statistical graphing. Thematic cartography was used at first for only mapmaking but continues to be used when location can be a determining factor in information, and can be used in heat mapping to see where the most important information is found. Statistical graphics include plots, pie charts, and are constantly innovated; the value comes from the testing of assumptions, model selection and regression model validation, estimator selection, relationship identification, factor effect determination, and outlier detection.

Iknow has deep expertise in all aspects of data visualization projects from initial requirements gathering, to designing outputs, to training on use of software, to system deployment and customization. Iknow has used data visualization in a number of different fields, including agile software development and marketing research. Iknow has experience in all sizes of data visualization projects, from dealing with the problems of big data, to designing maps of expertise networks.

Modeling and Simulation

Modeling and simulation is the development of data by creating a representation of a process, activity, or engineering problem that can be executed by a computer. The abstraction representation is modeling, and the execution upon the computer is simulation. Modeling is the formal specification of a conceptualization and underlying assumptions and constraints. This process involves creating a working hypothesis and ensuring that the question one is asking of the model can be answered by a simulation. Simulation is a tool for probing how changes in various inputs would change the outputs.

Business Value

Modeling and simulation can add a great deal of value in any industry. At any time, there is a level of fluidity in the competitive environment, and the business that has the best understanding of what may happen is the one which will have a competitive edge. In internal environments, modeling and simulation can help to convince people of the necessity of change to improve processes and cut down on the time taken completing tasks. Modeling and simulation is an integral part of any risk management system and should be used to ensure that as many contingencies are considered as possible.

Iknow has deep expertise in all aspects of modeling and simulations from initial requirements gathering, to data gathering, to creating hypotheses, to conceptualizing the problem or activity, to selection and deployment of a modeling and simulation technology. This software can be implemented with business intelligence, business process management, and data visualization. Typical modeling and simulation projects include understanding changes in the competitive environment and in the internal environment.

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