You have a three year business strategy!
Is it supported by your three year data strategy?
A business driven data management strategy is critical to achieve three principal objectives:
- Ensure that IT projects are aligned to business needs and focused on business priorities through data excellence and information management
- Increase operational efficiency by identifying and addressing key business process failures that cause poor data quality
- Reduce risk through pragmatic information risk management.
Our data management practice brings a unique combination of international best practice, local expertise and market leading technology enablers to address these needs.
Data Management | Master Data Management | Data Quality | Data Governance | Data integration
MDM provides thought leadership at GIS summit
MDM executive, Gary Allemann, will be speaking at Africa's 4th annual GIS summit, on the 22nd May 2013.
Allemann's talk, entitled Bridging the Gap between Relatial and Spatial data will focus on how to programatically enrich traditional, relational data with longitude and latitude.
"South African address data is complex due to a mixture of languages, a lack of address standards and poor literacy," says Allemann. "Global clients must also deal with the realities of global datasets meaning that they must handle data of varying quality from more than one country."
For more than ten years MDM has focussed on improving the data quality of name and address data. Using the internationally proven Trillium Software System, MDM have been involvled with a number of large data quality initiatives, most notably the NISIS for the Social Cluster. This project involved geocoding close to 100 million addresses for planning purposes and, as a by product, enhanced Trillium Software's South African rules to handle thousands of common spelling errors, alternate names and similar address issues that affect most data sets.
Allemann will explore the difference between spatial and relational data, how to connect the two and how this can be used to improve planning, manage risk and enhance operational efficiency across multiple industries.
For more information on the full event, or to register, please download the conference brochure.
The value of quality data for CRM
Microsoft Dynamics CRM promises to enhance the enterprise ability to sell to, serve and retain customers by creating a unified view enabling visibility into customer spend trends, customer engagement, services and loyalty. According to Nucleus Research, every $1 spent on CRM deliver a $5.60 return.
In an upcoming webinar, Data Quality leaders, Trillium Software, and Microsoft CRM specialists CustomerEffective for will discuss the critical impact of quality data within a Microsoft CRM environment.
Without high quality data CRM investments may fail to deliver these returns. Effective data quality processes must be embedded seamlessly within the CRM application, to protect users from complexity while maintaining high quality data.
According to recent article, 50% of companies are not satisfied with their current CRM programmes due to poor quality data. Common issues may include misfielded information, missing and inaccurate address details, misspelled names and duplicate records. I experienced all these issues as a user of CRM in the late 1990's. Manual processes put in place to manage data quality were quickly overwhelmed, an ultimately the single view of the customer was not established.
Modern, integrated data qualliy processes can address these issues with a three step process that helps to ensure that you meet your business goals for CRM
These include:
- a data audit (identify where data does not meet the needs of business);
- the implementation of automated data qualiity processes to validate and correct faulty data; and
- the deployment of these processes to do real time validation and correction of new data as it is captured into the system
Together, Microsoft and Trillium Software offer a complete solution to achieve the desired single view of the customer.