Data Preparation, Analysis and Visualisation
Preparation of all sources of textual and numeric data to make them available for analysis.
Combining data of different types and from different sources to gain additional insights into operations and behaviours. For example:
- Linking data collected during every-day business operations and administration (operational/administrative data), with aggregate data (such as employment rates, educational attainment, health care outcomes, or geographical location) to better understand outcomes or to target services and marketing.
- Joining sales data with customer/client survey and feedback data to inform service delivery.
- Merging natural language text data from different sources and in different formats (such as electronic documents, call centre logs, database text fields, emails, text messages, web searches, web sites, social media posts) into a single text corpus to gain an overview of communications, the themes or topics in a set of documents, or to automate the analysis of very large collections of text materials.
Mixed method analysis of quantitative and qualitative data providing added insight, depth and causal understanding.
Analysis of operational/administrative data (such as CRM database records, spreadsheets, web feedback forms, questionnaires, surveys, reports, documents, financial records, and emails) for:
- Monitoring and evaluation including real time analysis primary processes.
- Assessing effects of changes in policy and practice.
- Analysing business operations and processes to provide business intelligence and aid decision making.
- Objectively assessing the impact of particular interventions, services or projects.
Extraction of patterns, correlations, trends and anomalies from any available data source.
Using visualisation tools to both explore and analyse data, and to display the results to create clarity and enhance understanding.
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Text Analytics (Text Mining)
Rapid analysis, categorisation and annotation of large collections of all types of electronic text (including social media) to discover themes, topics, and sentiments.
Mining text data for information and facts contained within, including entities such as people, companies, products, places, events, and dates, and the relationships between them.
Enriching text data through the addition of related metadata.
Creating bespoke, industry specific taxonomies and dictionaries for use in Natural Language Processing (NLP), Machine Learning and automated analysis.
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Predictive Analytics
Developing statistical models to predict outcomes based on current and historical data in order to help plan and target future resources more effectively.
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Assessment of Data Collection and Management Systems
Carrying out detailed evaluation of the accuracy and consistency of data collection structures and CRM systems.
Developing and refining data collection, processing and delivery services, and user experience.
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Assessment of Data Preparedness
Evaluating your organisation’s use of data and the understanding of its potential uses.
Planning a data collection, user education and usage strategy to evolve data usage within the organisation.
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Designing and Implementing Primary Research Projects and Programmes
Quantitative, Qualitative and Mixed Methods research design.
Designing data collection tools:
- Questionnaires and Surveys.
- Interviews and Focus groups.
- Scales (used to reliably measure social phenomena in various contexts, such as assessing attitudes, structuring observations, and testing concepts and hypotheses).
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Other Services
Project Management, facilitating workshops and delivering training.
Accessing additional specialists and domain experts:
- Building project teams with expertise in the fields of Software Development (including text and data analysis tools), Defence and Security, Digital Marketing and PR, Military Historical Analysis, Operational Research, Quality Assurance, Social Research and Change Management.
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