Data Mining & Analytics
EI can provide a level of interrogation into patterns within data that is impossible for skilled persons working conventionally, due to EI being able to process large amounts of data using specially developed IP including process routines and algorithms (see a sample in Appendix A). We discover the “unknown” risks and information that translate into valuable benefits such as operational intelligence, cost savings and reduced risk.
Implementing data mining represents a proactive and powerful preventive strategy to identifying and assessing risks as well as detecting possible inefficiencies or failure points in systems ranging from accounting to marketing to operational and manufacturing systems.
Having been involved in the building and management of large data warehouses supporting Data Mining for decades, we have learnt that the BI aspects associated to such data warehouses are valid and important but do not go far enough to extract the full value in most cases. Without specialised and experienced oversight, the correct application of data mining techniques (as opposed to having purchased BI Tools)and the comparison to specialised external data sets we find that the “unknown” stays the “unknown” until it’s too late.
Data Quality, Integration & Enrichment
The power behind Effective Intelligence’s Data Quality, Integration & Enrichment is in the adaptability of its data model and self-validating and portability characteristics, offering businesses a way to create, validate, collect, manage and analyse data. Poor data produce inefficient processes; even a small error – the transposed letters in a street address or apartment number, can lead to revenue loss and process inefficiency.
Before data can be effectively used for business analytics, customer relationship management or even relatively simple marketing campaigns, the data needs to be cleansed, standardised, validated and enriched
By standardizing customer data, you will be able to offer better, more personalized customer service. And you will be better able to contact your customers and prospects for cross-sell, up-sell, notification and services.
If you have clean data in your supply chain, you can achieve some tangible benefits. First, the company will have a clear picture about delivery times on orders because of a completely transparent supply chain. Next, you will avoid unnecessary warehouse costs by holding the right amount of inventory in stock. Finally, you will be able to see all the buying patterns and use that information when negotiating supply contracts.
If you have standardized the data feeding into your data warehouse, you can dramatically improve business intelligence. Employees can access the data warehouse and be assured that the data they use for reports, analysis and decision making is accurate. Using the clean data in a warehouse can help you find trends, see relationships between data, and understand the competition in a new light.
Data Quality, Integration & Enrichment
The power behind Effective Intelligence’s Data Quality, Integration & Enrichment is in the adaptability of its data model and self-validating and portability characteristics, offering businesses a way to create, validate, collect, manage and analyse data. Poor data produce inefficient processes; even a small error – the transposed letters in a street address or apartment number, can lead to revenue loss and process inefficiency.
Before data can be effectively used for business analytics, customer relationship management or even relatively simple marketing campaigns, the data needs to be cleansed, standardised, validated and enriched
By standardizing customer data, you will be able to offer better, more personalized customer service. And you will be better able to contact your customers and prospects for cross-sell, up-sell, notification and services.
If you have clean data in your supply chain, you can achieve some tangible benefits. First, the company will have a clear picture about delivery times on orders because of a completely transparent supply chain. Next, you will avoid unnecessary warehouse costs by holding the right amount of inventory in stock. Finally, you will be able to see all the buying patterns and use that information when negotiating supply contracts.
If you have standardized the data feeding into your data warehouse, you can dramatically improve business intelligence. Employees can access the data warehouse and be assured that the data they use for reports, analysis and decision making is accurate. Using the clean data in a warehouse can help you find trends, see relationships between data, and understand the competition in a new light.
