Helping businesses operate smarter with modern decision support capabilites
What is a Modern Decision Support Capability?
A Modern Decision Support Capability is one that encompasses the entirety of the data needs of the business and fulfills this need in the most efficient (yet controlled) manner possible.
As the organization grows, the data it collects begin to grow. This growth amplifies complexity. Users begin to question the data and start to lose track of where this data was sourced and how it is used. This complexity causes the business to operate with less transparency and less agility. Decision support suffers.
A Modern Decision Support capability overcomes these challenges by making data assets easier to access, easier to understand and easier to leverage. In this manner, complexity is reduced and the business can begin to benefit from less risk and increased productivity.
Do you have a decision support problem? Here are some symptoms:
Data Delay - If the time it takes to get data into the hands of decision-makers is longer than a few hours the organization suffers from operational paralysis. Lengthy delays can make it difficult for the business to adapt.
Database Bloat - Since complexity prevents clarity, data engineers are loathe to delete or reuse data. This makes data untouchable once it is in place. The result is a massive and ever-growing burden of databases called "database bloat". This bloat comes at high cost to the business.
Spreadsheet Abuse - Since complexity makes it difficult for the IT team to respond to data requests, business users turn to alternative sources. The result is a massive over-reliance on risky spreadsheets. Data in this format is easy to get lost.
Stovepipe Data Processing - This occurs when a single stream of data from source to target is built for a single use. Over time these stovepipes can count in the thousands and be extremely difficult to manage.
The burden to support your current data architecture will only continue to grow as the demand for data increases. Without an effective strategy to meet this demand the costs and effort will reach a breaking point. The organization must therefore develop a data strategy that can support this growing demand.
Getting in the way are legacy technologies and legacy processes and the costly data pipelines required to support them. A modern, enterprise data strategy is one that addresses both database sprawl and stovepipe ETL in order to reduce costs and increase overall agility and transparency.
"Process Tempo gave us the data platform needed to consolidate our infrastructure and make our team more agile."
How we improve decision support operations
Solving this problem requires that organizations implement both a simpler architecture and a means to offer self-service access to data in a controlled fashion. In addition, this architecture must encourage users to keep data within the platform. All too often, users request extracts of data and once data is extracted, the organization is exposed to greater risk. This extracted data can not only land in the wrong hands, once it is extracted, it ages rapidly. Making decisions using this data can lead to challenges for the organization.
The Process Tempo Approach
Process Tempo offers a modern alternative to traditional data architectures. Implementing Process Tempo will reduce the need for stovepipe ETL, reduce database bloat, and help the organization maintain greater control of its data. This equates to less cost and less risk.
Leveraging existing ETL capabilities, organizations can land data into a single instance of Process Tempo. This is possible because of Process Tempo's No-SQL approach and its flexible schema. The organization no longer needs to plan out the design and implementation of a specialized data warehouse.
In addition, Process Tempo provides built-in features to allow decision-makers direct access to data in a secure and controlled fashion. By offering data consumers self-service access to data, the organization will benefit from reduced processing costs and faster time to insight. This translates to a more agile and transparent organization.
Finally, Process Tempo provides built-in features such as search, analysis, and reporting. These features are designed to keep the data within the platform which means greater control, greater security, less risk, improved audits and a whole host of additional benefits.
The result is a more streamline decision support environment which will help decision makers get the answers they need with less delay. This in turn helps the organization operate with greater transparency which in turn creates greater agility and adaptability.