Data Analytics

How does a company know it’s getting effective information from its data? The answer can be found in analytics. Data Analytics is the process of deriving intelligence from raw data as part of an overall Data Management paradigm. At RESPEC, we take a hierarchical approach to this paradigm: we first secure access to raw data from sources both internal and external to the client’s business, we then apply sound data quality techniques and measures to ensure the efficacy of the data. To transform the now-clean, raw data into information intelligence about a business, we must examine the datasets and draw conclusions using analytics tools and algorithms specific to the domain in which the business operates.

RESPEC properly uses this data analysis process to help clients create a foundation from which business decisions can be made. The process of Data Analysis is a critical component of the data management practice at RESPEC and feeds into the higher levels of the data hierarchy, including decision support and data visualization. If the analytics are wrong, business decisions and operations will suffer proportionately.

At RESPEC, we are passionate about data and data analytics. Our experts are experienced with leading industry tools and have built proprietary algorithms for customers whose domain needs are not addressed by off-the-shelf software. We want to help our clients design a complete and performant data hierarchy rooted in data quality and advanced data analytics.

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Data Analytics Products

RESPEC’s product line is geared towards making businesses and organizations better, faster, smarter, and safer. Our products benefit clients in need of greater efficiency, accuracy, and cost savings.

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