With a dedicated data science team, we prepare, clean, process, automate, store and transform raw data into usable inputs in various formats and help clients gain actionable insights and plan business strategies on informed decisions.
To set up the right foundation for any kind of data extraction, we can develop well-designed, secure, and reliable ETL and or ELT architecture to clean, filter and structure data into a readable and insightful format. We use ETL for well- structured data and ELT for more complex data sets that require real-time processing.
We build, manage, and maintain data warehouses that serve as a reliable source of real-time information across departments. Cloud or premise-based, our team manages, updates and polishes data warehouses on an ongoing basis and offers continuous support.
With extensive knowledge and training in power BI, Tableau, D3.j.s. and other modern tools, we combine knowledge and technology to deliver user-friendly data visualization models in all forms, i.e., heat maps, tree maps and others to bring specific data to the foreground.
We use statistical modeling to develop predictive models based on historic data and help our clients confidently foresee business outcomes, sales numbers, behaviors, and trends. Using reliable data science methodologies, the best tools, and expert knowledge, we develop, test and validate predictive data models for easily readable inputs.
Based on the volume and structure of your database, we can build suitable algorithms to train your data to predict behaviors and advance feature performance. We apply Deep Learning to help clients across industries target specific needs, like data entry automation, customer segmentation, financial analysis, ROI predictions, and more.
With a deep understanding of advanced technologies used for big data processing and automation all the way to data visualization, we can help you maximize the potential of technologies like Hadoop, TensorFlow, Spark, SQL, and NoSQL to gain maximum insight.
Strongly focused on tackling unique business needs, we customize data solutions to help you gain insights into precisely targeted areas of your business.
With extensive knowledge in AWS, Google Cloud, Azure and hybrid cloud solutions, our teams help clients select the best and most cost-effective approach to big data in the cloud. From design and implementation of custom cloud data architecture to helping you identify parameters and patterns with the right data analytics tools, we make sure your data strategy works for you.
First, we take time to make a proper assessment of your needs and data quality to be able to present you with the best strategy for your data.
We communicate with you in detail all the steps that need to be taken, the technologies the project requires and the deadlines.
After we agree on the requirements and criteria, we start the development process and keep you actively involved throughout the process, with daily meetings, progress reports, and demos. When we deliver your product, we stay available for service.
To help business get the most out of big data, Klika combines the right kinds of technologies and experts to unlock the full potential of big data. We make sure to build high-quality solutions, choose the most convenient storage options and have the best people navigate big data extraction and transformation processes.
Our experts are fluent in Hadoop and Apache Stark, some of the most powerful open-source frameworks to derive value from Big Data. Our engineers are well-versed in Hive, Pig, Impala, Oozie and other Hadoop components and are always aiming to produce maximum value out of the Hadoop ecosystem.
We combine business domain experience, broad technical expertise and a quality-driven delivery model to create innovative solutions. Our professionals have wide experience in developing big data models and systems for different markets.