Unlock archived information to drive business performance
About unlocking your archive
Unleash the potential of big data
Oil and gas companies constantly face many industry-specific challenges. Lack of visibility into complex operational processes, performance improvement difficulties, and equipment life cycle management all come into play. When you pile on logistics complexity and environmental regulations too, you get the picture. Fortunately, big data analytics offers substantial rewards. Energy companies can transform their enormous datasets into sound exploration decisions, lower operational costs, longer equipment lifespans, and less environmental impact.
Digitize your archive
Digitally transforming a business overnight is not easy. It involves grappling with massive file sizes, navigating data silos, and justifying equipment investments. Moving to digital can be prohibitively expensive, and the process may be overwhelming. Becoming fully digital is the goal for the future, but many companies must worry first about today. Operations must continue, and without a strategic plan, upending current storage to a cloud-based system can backfire. Insights may emerge from old locked data to improve business decisions, but that same data may also present risks not yet fully understood. Before substantial benefits of new technology can be realized, both old and current data must first be organized.
Going digital is hard—but the payoff is worth it
A good first step is to cut your data mountain down to a workable size. Quickly find data that matters, and identify data that contributes value and data that doesn’t. Then allocate capital and resources accordingly.
High reliability, low duplication, clear accountability
Maintaining cloud security requires a rigorous, disciplined approach that begins prior to cloud migration. Understand your cloud vendor’s security strategy, resources and service level agreement before moving to any cloud environment.
Let's audit your data
A comprehensive data management strategy is vital
Your data management strategy is your roadmap to ensure that activities work together effectively and efficiently to prevent problems. Difficult issues could involve incompatible, duplicate, or missing data, along with avoidable costs and unnecessary loss of time and resources.
Understand your company’s overall objectives, and the types of data, insight and information that will help meet those objectives. Craft your data management strategy accordingly, and it will serve as a strong foundation for consistent progress, successful integration, and business growth. Create strong data processes for collecting and analysis, storage, security, access, and governance. Finally, determine if you have the expertise on hand needed to execute your strategy.
Select a digitalization partner
Searching for the right data management partner can be daunting. Several factors to consider include reputation, experience, technology fit, portfolio of service offerings, innovation track record, quality of the client experience, and partner relationships. You want a competitive, differentiated, and customized offering of services that solves your specific needs.
A full solution with a single point of contact and personal one-on-one interaction can dramatically lessen the burden of digitalization. Determine how your prospective data management partner leverages the latest technology of its own partners to deploy the highest level of innovation as rapidly as possible.
The Ovation Method
Our suite of customized solutions provides the full end-to-end data management environment at every stage of the data lifecycle. Liberate and integrate your data effectively with our expert guidance and proprietary technologies. Here is how it works:
1. Discover
2. Transcribe
3. Enhance
6. Preserve
5. Connect
4. Analyze
Let's audit your data
Do you have unidentified data on any obsolete media or storage?
Send us your oldest media format and we’ll unlock it for you!
Your checklist of pre-requisites
You will be glad that you’ve done your homework before a deep dive into digital transformation. Here are key elements to have in place:
- Data strategy
- Data governance models
- Data standards
- Data integration
- Data management
- Data clean-up