Data without insight has little value. That's why we have Data Warehouse professionals to turn those zeroes and ones into actionable insight that helps organizations make better decisions, earn new customers, identify new opportunities, and turn existing customers into ambassadors for their companies’ products, services, and brands.
But there is intense pressure to innovate faster than the competition. Coupled with the difficulty of finding and retaining properly-trained IT staff, initiating digital transformation takes a secondary role to putting out the fires and surviving.
You can adapt to the changes, or risk being left behind. Automation can help; although, while most organizations have some automated processes in place, few have an automation strategy.
Data centers are exceedingly busy places. In many centers it’s not unusual for hundreds of data warehousing processes, involving millions of rows of data, to be executed every day. Add in the difficulties presented by the shortage of qualified IT personnel—a situation caused by the rate of growth in IT computing resources, budgets not keeping pace with the rate of growth, and skilled IT resources being harder to find and retain—and you have the formula for a stressful environment.
The answer to gaining data warehouse control and visibility is automation—and here’s why. Today’s intelligent automation platforms have the power and flexibility to handle virtually any data warehouse operation, regardless of complexity. The tested logic and drag-and-drop convenience of Workload Automation solutions allow staff to design, build, implement, and monitor workflows faster, more reliably, and with less custom scripting.
Let’s look at the positive impact of Workload Automation on data warehouse operations as experienced by actual users:
Data Overload is a Challenge
Data moves through organizations in a constant state, going from one individual, department, or office to the next. As new and different data sources like social media and wearables become part of the data pool that businesses collect and analyze for decision-making, data warehousing processes are becoming increasingly complex.
We had the opportunity to talk with many PowerCenter users at Informatica World in Las Vegas in May and they shared a lot of information about their IT Automation requirements, at the application and enterprise level, and how it could be improved. Application vendors, as we have previously addressed in our earlier posting, focus their resources (money and time) in developing the core capabilities of their products rather than enhancing their solutions with a robust automation system necessary to address today’s business and operational requirements.
In recent years, the democratization of analytic, reporting and BI solutions has become a driving force in the growing complexity of data integration and data warehousing models. Add to the equation the growing complexity and volume of information thanks to Big Data, and it’s no surprise that the underlying ETL and data warehousing processes to integrate and access data from multiple sources is becoming increasingly complex.
Business Processes that Should be Automated
In today's fluid 24/7 world where business demands are real-time and IT is being asked to “script” business processes into automated workflows, old-school batch processing can no longer cut it. Posting a job to run every night at 3 AM was fine 10 years ago, but today these processes have to be run in real-time and workload automation is the key to industrializing business processes to save companies time and money. Here are three common business processes that Advanced Systems Concepts Inc. sees customers automating with ActiveBatch to save money and ensure SLAs are being met.
Attending Informatica World presents the opportunity to speak with IT professionals about one of the strongest use cases for job scheduling and workload automation: the end-to-end automation of ETL, data warehousing and business intelligence (BI) processes.
Fluidity is the new mantra in workload automation. Management demands, data sources, SLA requirements, computing infrastructure—everything attached to IT is turning more flexible, more diverse and more nimble in order to satisfy the accelerating pace of business. At the center of it all, job scheduling and workload automation is becoming more important than at any time in the last 30 years. In the past twelve months we’ve witnessed the continued evolution of business IT into something faster, bigger, and more adaptable than we could have imagined even a few short years ago. Workload automation technology is responding with new solutions that will be increasingly visible in 2013 and beyond. These are the key trends we’ve identified that are re-shaping the segment: