Your data is waiting to be discovered. Do you know where it is?
With an increasingly important industry trend towards uncontrollable growth, unstructured data is pushing infrastructure limits to new heights with every technological advance. Without a data classification plan, organizations face a lack of clarity surrounding their business, ultimately putting the organization at risk. A proper data classification strategy addresses data classification and retention, identification of new business assets and preservation of historical or legacy data, among other critical considerations.
Take the first step towards unlocking valuable digital assets with our Data Classification Assessment.
Successful data classification brings clarity to your business.
IDS transforms your data classification strategy using our proven four-phase methodology. Our comprehensive consultation address common data issues that often lead to larger underlying business problems. Get new clarity on your organization and experience the following benefits:
- Faster access to critical data
- Lower overall costs of storage by matching data and storage type more effectively
- Enhanced security by segregating and encrypting the smaller data subset
- Separate archive for inactive data, reducing the strain on backups (data protection)
- Digital archives (repositories) that are business assets of value
- Opportunity for new business by presenting relevant data to analytical tools
- Data (information) lifecycle management that eliminates redundant, obsolete and trivial [“ROT”] data
Data protection is an organization-wide endeavor.
Bridging Customer Trust
Organizations that have control over their data enjoy a higher degree of trust with their customers. The IDS Data Classification Assessment addresses several key business areas to build the highest level of confidence. We focus on close collaboration between business/application owners and IT, creating a relevant data classification strategy with long lasting impact.
Key Tasks & Deliverables
- Interviews with stakeholders to understand data generation, archiving and obsolescence
- Discovery of the unstructured data and storage infrastructure
- Understanding data dependencies for different business functions and applications
- Review of data confidentiality and availability
- Address data ownership, data access and data security