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    Big data
    Big data solutions to boost your business

    Big data solutions, utilizing big data analysis, can boost your business in many ways. They can achieve everything from optimizing expenses to increasing customer flow, thus optimizing your revenue. Since 2007, Innowise Group has been accumulating expertise in a wide range of big data services, from consulting to full-fledged development.

    How can our big data services help your business
    Consulting about big data
  • Developing big data implementation and evolution strategies, creating detailed roadmaps.
  • Developing an architecture of a big data solution along with outlining optimal technology stacks.
  • Building a proof of concept.
  • Analyzing your data quality management and giving recommendations on improving it.
  • Developing user adoption strategies.
  • Implementing big data solutions
  • Developing architecture and design of a big data solution.
  • Full-fledged big data development services (data lakes, data warehouses, SQL and NoSQL data analysis, reporting, dashboarding).
  • Creating machine learning models.
  • Setting up big data governance procedures (data profiling, certification, classification, etc.).
  • Supporting big data solutions
  • Administrating big data solutions (updating applications, handling users & permissions, etc.).
  • Managing big data (cleaning, backing up & recovering big data, etc.).
  • Monitoring performance of big data solutions & troubleshooting.
  • Checking on the health of big data solutions.
  • Managed analytic services
  • Setting up and supporting big data solution infrastructure.
  • Extracting and managing big data.
  • Developing and tuning machine learning models.
  • Evolving existing big data solutions.
  • How big data helps in different business domains

    Big data helps financial institutions by providing more accurate risk analysis and market activity monitoring. Moreover, big data analytics help eliminate overlapping and redundant systems and make access to data easier.

    Big data can boost retail and eCommerce businesses by reducing fraud rates and making stock management more precise. Moreover, it allows for the implementation of dynamic pricing and custom items suggestions. All this results in enhanced customer experience, expenses reduction, and revenue boost.

    Manufacturing can benefit from big data analysis by optimizing logistics and supply chains and using this technology to predict equipment breakdown and conduct preventive maintenance on time. Moreover, choosing the location of a new branch can be done more precisely with the help of big data analytics.

    In media and entertainment, big data solutions assist in creating detailed user profiles. They can be used to suggest the most suitable entertainment media based on the taste of a particular user.

    Big data has a wide range of implementations in healthcare: from predicting when a client will pay a clinic another visit to creating behavioral models of an organism to predict the impact of medicine.

    Thanks to more accurately targeted advertising campaigns, marketing benefits from big data by means of higher user acquisition and message deliverability rates, and enhanced customer experience.

    In education, big data can do many things: from simple involvement analysis to assistance in creating custom educational programs that boost students results and decrease dropout rates.

    Here, big data is much more profitable than most people expect. For instance, apart from predictively scheduling equipment maintenance, it can analyze the geometry of a given location, giving the most accurate data on possible deposits of oil or gas.

    Consider going BIG, but still insecure?

    Find out how big data analytics can boost your business.

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    What does the business community say about big data?

    We’ve gathered some quotes about big data from recognized people:
    With data collection, ‘the sooner the better’ is always the best answer.
    The world is now awash in data and we can see consumers in a lot clearer ways.
    Data are becoming the new raw material of business.
    Want to learn more about big data and its future?
    Read our blog posts!
    Reasons to let us handle your big data

    Personalized approach to big data projects

    Our team provides enterprise-level big data consulting services to evaluate your business needs and capabilities, thus getting the best fitting solutions and big data use strategies. Get the maximum you can from big data.

    Easy big data integration

    Big data gathers information from the whole IT infrastructure of the business. Our architects and developers can integrate big data solutions into your IT systems so that you can monitor all the events in one place without missing important details.

    The scalable infrastructure of big data solutions

    Businesses tend to grow, and growing will demand upscaling of IT infrastructure as well. Our development team can offer robust solutions that will have high performance and will be easy to upscale in tandem with the growth of your business infrastructure.

    Only healthy data

    Gathering data is one thing, but keeping data safe and clean is another. We implement high-quality data governance tools to ensure that your data is always up to the highest security standards. The healthier the data, the better the decisions you make.

    Handy big data analytics tools

    When it comes to making a decision, everything should be clear. To ensure that all your decisions are informed and based on the clearest information you can get, we implement various handy means of visualization of processed data.

    Fast-paced development

    Our development team possesses a high level of expertise in big data. This allows us to provide our clients with unique high-quality big data solutions and fast development processes even in the most complex and ambitious cases.
    Want professionals to boost your business with help of big data?
    Our big data portfolio
    Since 2007 we’ve gathered a lot of expertise on big data. Here you can see some of our already finished big data projects:

    The project aimed to create a big data solution that assists companies in collecting, sorting, and analyzing huge data sets in one application. Our developers have created and implemented quick search and sorting filtering algorithms that allow data transferring and organizing process automation. Moreover, the solution finds anomalies and errors in big data chunks. In addition, our team has developed graphical visualization of information and data. As a result, the solution allows for quick and convenient handling of big data sets and high-quality information display.

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    The aim of the project was to evolve an existing big data solution by optimizing queries from the server. Our development team has managed to double the speed of operational processes. In addition to speeding up the solution, our developers have made it more convenient to use. We added new graphical forms for real-time data visualization, developed data filters for quicker and more precise data searching, and created the module for custom reports on analyzed data. Overall, the client received an evolved big data application that worked at least two times faster and was much more convenient to use.

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    The solution helps to optimize sales, logistics and stock management using the power of predictive analytics. The solution our team has developed can make monthly, quarterly, or yearly sales forecasts based on accumulated data on previous sales (daily sales, purchased items, average checks, loyalty card types, etc.). This application can identify daily and monthly seasonality in demand of a particular good and evaluate the impact of promotional campaigns on sales. Moreover, the system can predict the changes in general and for an individual group of customers. All in all, our team has created a custom big data solution that can assist in stock and logistics management, which increased forecast accuracy from 77% to 93%.

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    The developed solution based on different customer behavior signs could estimate the likelihood of a customers decision on choosing a different supplier within 1-3 months. Our development team has managed to calculate this risk of customer outflow after identifying risk parameters through customer activity studies. In addition, we have helped the client to find the most effective means of customer retention for each target group. As a result, with the help of our big data solution, the client has managed to increase the efficiency of communications with customers, thus boosting conversion and repeat purchase rates and customer lifetime value.

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    The project aimed to develop a scalable data system for storing, processing and analyzing medical records coming from clinics in NA. The company had accumulated a large amount of raw data from numerous clinics. The data consisted of different types and were not classified, so it was impossible to use them further in reports, statistics, forecasts, etc. Our team structured the scattered data: manually annotated ~100,000 records and structured sets of data. Then we trained models on these samples that applied to the rest of the data, including new coming records, making them suitable for further analysis. As a result, the client received a custom big data solution to accumulate data and use them for research activities, drug efficacy studies, and evidence-based medicine.

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    The solution collects publications about bitcoins on Twitter and analyzes their tone to make predictions about the rise or fall in the price of the dedicated cryptocurrency. Using the NLP algorithm, the system collects and analyzes data from Twitter posts that mention the word “bitcoin”. Semantic technology processes the logical structure of sentences to identify the most meaningful elements in the text and to understand the essence of the discussions. In the next step, the system collects and stores data, and then uses analysis to predict changes in the bitcoin exchange rate for a given period of time. The system is constantly learning and can recognize the tiny details as personal humor or sarcasm.

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    Our big data technology stack
    Apache Hadoop
    Amazon S3
    Azure Blob Storage
    Apache Cassandra
    Apache Hive
    Apache HBase
    Apache NiFi
    Azure Cosmos DB
    Azure Synapse Analytics
    Amazon Redshift
    Amazon DynamoDB
    Apache Airflow
    Apache ZooKeeper
    Zaloni Arena
    Apache Kafka
    Apache Spark
    Apache Storm
    Apache Flink
    Apache Druid
    MapReduce for Apache Hadoop
    Apache Giraph
    GNU Octave
    Apache MXNet
    MLib for Apache Spark
    Amazon ML
    Amazon SageMake
    Azure Machine Learning
    Google Cloud AI
    Other ways we can boost your business
    Learn about our software development expertise and see its benefits!
    IT Consulting & Audit

    Our experts will find the best way to improve your processes, thus leading your business to more rapid growth. Let us help you with the process of more fulfilling your potential, more rapidly than you had thought possible, and in line with your developmental plans! r!


    Big data solutions are primarily developed using Python language. But that’s not the only way you can use it. See how else you can boost your business with one of the most popular programming languages.


    Gathering, storing and analyzing big data is vital for modern business. But being able to manage processes and receive information about them on the go is, no doubt, at least equally important.

    Need a technological solution?
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