FEATURE: DATA
Continuous monitoring of the performance of data products in real time is one of the main pillars, important for identifying bottlenecks and optimizing processes before they negatively impact the end user. In retail, especially during periods of high demand such as Black Friday, for example, constant monitoring of the performance of data products can be the key to success. With the implementation of an analytics solution with continuous monitoring based on AI, retailers are able to identify bottlenecks in data processing and optimize queries on websites before end users – their customers – notice the slowness generated by the occasion. As a result, the user experience is enhanced, increasing conversions during the event.
PERFORMANCE IS NO LONGER A
TECHNICAL DETAIL BUT A STRATEGIC FACTOR.
important approach in this regard. However, managing costs with Cloud Computing, storage and processing is essential to ensure that performance does not generate excessive expenses with no return.
Also in this context, the use of data streaming, which processes information as it arrives, ensures the generation of insights without overloading the business infrastructure. Optimization of calculations, with dynamic aggregations, also allows for quick analysis even with large volumes of information. Incremental loads, with techniques such as Change Data Capture( CDC) to avoid unnecessary reprocessing and make ETL / ELT( extraction, transformation, and loading) processes more optimized, are also some of the key pieces to ensure the strategic use and performance of data.
Resource optimization is also a key part of this journey, balancing efficiency and costs. Data infrastructures must be scalable and efficient and the Cloud is an
In a real case, a fintech company facing an increasing volume of transactions was able to reduce its cloud data storage and processing costs by 30 % by using optimization tools such as data compression, dynamic load adjustment and prioritization of critical data queries, maintaining performance and ensuring scalability.
Strategies such as moving old data to more costeffective storage tiers, for example, can also reduce costs by up to 30 %, while implementing preaggregations accelerates calculations and analysis, decreasing response time. In addition, intelligent retention policies, based on well-defined data catalog rules, ensure that only critical data is available at all times without burdening the infrastructure. www. intelligentcio. com INTELLIGENTCIO LATAM 47