Big Data & Data Science Development Services
Codete, as a leading software development service provider, also focuses on data science topics making sure that our services cover the entire value chain which our customers expect to receive from our portfolio of products and our services. Data Science serves a very technical purpose but one that is vastly different from other individual contributors. Not only our company but everyone around is constantly surrounded by data that represents the business, product and customers on a big scale. We understand that without seeing things from a 360-degree view and without getting deep insights into our customers’ business model, we are not able to become their trusted advisor among companies and C-suite members. By proving big data and data science development services, we explore all of the company's data maximizing its potential and figuring out any possible improvements which our customers can apply to achieve business goals. The business value of data science depends on organizational needs. One of the biggest benefits of having a data science advisor which helps you to optimize your business model, is that we can help you to become a leader in a company's digital transformation. Using our data utility identification, pipeline design and analysis and consulting services our data scientists investigate organizations’ core data and can build tools which meet your expectations.
Research takes a lot of time – at Codete, we are sure that without a good understanding of data sources, information and reasons why it is important for operations, good data analytics tools cannot be applied successfully. With a problem clearly defined and a suitable approach selected, data has to be cleaned which includes removing missing values, outliers, identifying duplicate records and removing incorrect values. Our teams also take care of designing and implementing databases as well as solving challenges associated with data storage, indexing, linking and querying large databases if needed. Using different open source data science libraries and machine learning approaches we are able to discover hidden patterns in data as well as to help you to become a data-driven organization. Thus, relying on the most recent technological solutions, we are able to apply automated data monitoring techniques that can review the data quality between different system states and create a data continuous monitoring platform for your organization.
Our pipeline design approach starts with viewing the Big Data opportunities in terms of the complexity of the data and the analytics capabilities your organization can bring to bear. Our unique analytics can perform tasks ranging from simple descriptions to more complex capabilities that predict outcomes or help determine which actions to take. Our several level data investigation process consists of stages such as a prescriptive step where our sophisticated analytics go beyond monitoring equipment, systems and assets and make recommendations for preventions or optimizing actions. Our second level of analytics is focused on predicative processes which offer insights on risks to operations and the potential for outages or other types of failures across operations located in different locations. The third and final data analytics tools can give a view of operational and financial performance, through customized online dashboards or even real-time reports that relied on information from sensors and smart meter data to show useful figures.
Our talents as software and data engineers, data scientists and machine learning experts can craft and implement fully customized, end to end, advanced analytic solutions and products. Our data analysis and consulting service can bring about change in your company by building up your data science knowledge, developing competencies and helping to understand the digital transformation matters. Depending on the client's industry, the data collection method or objectives can be completely different. That's why firstly our technical consultants focus on understanding a problem, figuring out what kind of data is needed to solve a challenge and where to find and how to store this data. Based on these steps, our field experts can get breakthrough business results, develop strategies that turn your data assets into a true competitive advantage and build a deep analytic expertise at your company.
Apart from sharing our industry knowledge with our customers, our data science experts combine cutting edge techniques with our tools and the latest technology to help our world class analysts identify insights that deliver results. Codete helps clients across all industries to benefit from their data to improve business decision making. Our work force focuses on primary search, advanced analytics and Big Data and is rooted in our technical expertise, client experience and analysis platforms and tools.
Consequently, we bring the right mix of disciplines to each customer, recognizing that every challenge and customer is unique. The Codete Data Science team takes a comprehensive approach to meet data challenges and take your company's success to the next level delivering products to automotive, industrial and healthtech sectors. We also have the breadth and depth to support and help both scaleup companies and corporations which want to get the best out of our technical solutions and services. Our long term cooperations with companies such as TOTAL, BMW, Deloitte and Porsche can be proof we should be your next data science service provider.
This post is the fourth in a series of articles written in collaboration between a blockchain platform vendor, Fluree, and a systems integrator, Codete. Drawing from collective expertise from both a technology vendor and a software development company perspective, we’ll provide insight into overcoming common hurdles in implementing blockchain technology and best…