VerifiedSoftware Development· Founded 2015

Datalgorithm

Data is one of the most important resources that a company owns. Various industries, and companies, are at different stages of adoption of data analytics. Those that utilise data better to solve their most pressing challenges and questions are generally more productive and profitable. Data-driven organisations continuously mine knowledge and create actionable insights from data. This, in turn, is used to aid the intuition and experiential learning of managers in arriving at effective business judgments that can translate into valuable outcomes for the company. Datalgorithm is a UK based company with a passion for leveraging data science, business analytics and technology to help clients achieve business outcomes aligned to their strategic and operational goals. We are a young company that understands the needs of small and medium size businesses. No problem is too big or too small for us. We partner with clients to create value for them on their data journey, one problem at a time. Our accessible and affordable data analytics services enable our clients to utilise data science and business analytics for a wider set of business problems resulting in enhanced competitive advantage. We have developed packaged analytics solutions that address industry-wide challenges, but are flexible to adapt to a company’s unique data. We offer advanced business analytics development and maintenance services — tailored to your company’s specific needs — underpinned by algorithms utilising mathematical & statistical analysis of your unique data. Our services and solutions help companies mine data, internal and external, for fundamental information, crucial knowledge and actionable insights. When companies are overwhelmed with data and uncertain about the best ways to navigate the data ocean that the digital age has created, we aspire to become “Your Digital Beacon”. Consider data analytics to transform business problems into opportunities to improve your company’s performance.

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