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Big Data Development Services
As the volume of an organization’s data increases, so do the associated challenges, prompting companies to seek reliable and comprehensive big data development services. EffectiveSoft’s big data developers deliver best-in-class, cross-industry solutions, enabling businesses to efficiently handle petabytes of data, extract meaningful insights, and improve decision-making.
Clutch proven
EffectiveSoft has been ranked as the Top BI & Big Data Company by Clutch. Attaining this recognition carries great distinction for us, underscoring our reliability, trustworthiness, and commitment to delivering high-quality and sustainable big data solutions.
services
Big data services we offer
As a trusted IT advisor, EffectiveSoft helps determine how to effectively employ big data to resolve complex challenges and address specific client needs. We define key goals, build a suitable tech stack, and provide valuable recommendations and clear roadmaps on how to transform raw data into lasting value. Our experts work closely with organizations to develop efficient data governance strategies, comply with privacy and security regulations, and implement quality initiatives that ensure greater data accuracy and integrity.
A scalable and fault-tolerant infrastructure is critical at every stage of the big data life cycle to support robust data management processes and drive operational efficiency, flexibility, and cost savings. Based on our clients’ requirements, we design on-premises, cloud-native, and hybrid big data infrastructures. These infrastructures feature components, such as data collection, storage, real-time processing, analytical tools, security, governance, and more.
Utilizing extract, transform, load (ETL) and extract, load, transform (ELT) tools, our data engineers help businesses extract raw data from different sources, process it, and consolidate it in a single source of truth, such as a data warehouse or data lake. The unified data exhibits consistency, accuracy, and quality characteristics, making it suitable for additional operational and analytical purposes.
EffectiveSoft offers full-cycle big data application development services, including a feasibility study, solution architecture design, development, implementation, quality assurance (QA), and post-launch maintenance and support. Combining their solid business acumen with technical expertise in technologies and tools, including Hadoop, Spark, NoSQL, Java, Scala, and more, our big data developers build high-end big data systems. These systems can efficiently manage ever-growing volumes of data while optimizing data management, governance, and security.
We provide a comprehensive suite of data analytics services, encompassing data science as a service (DSaaS), real-time analytics and exploration, business intelligence (BI) analysis, data mining as a service (DMaaS), image, text, and sentiment analysis, and more. Our data analysts capitalize on artificial intelligence (AI) and machine learning (ML) to uncover underlying data structures and patterns, using the acquired information to derive valuable insights and enhance informed decision-making.
To effectively communicate the extracted insights to business owners and stakeholders, crafting vivid visual narratives is key. We use time-tested data visualization tools, such as Power BI, Tableau, Looker Studio, and more, to create bespoke dashboards, interactive reports, charts, and infographics. Big data visualization facilitates the comprehension and analysis of the presented data, thereby expediting the decision-making process.
The volume and complexity of new data are growing at lightning speed, prompting companies to upgrade their existing infrastructures to scalable and accessible solutions. Our professionals help businesses migrate their current on-premises big data infrastructures to the cloud, resulting in improved performance, enhanced security, and reduced infrastructure-related expenditures.
advantages
Benefits of using big data
Cost-effectiveness
Companies turn to big data as a surefire way to achieve outstanding outcomes without overspending. By capitalizing on big data analytics, businesses can efficiently allocate their resources, save time, reduce downtime and waste, and optimize supply chains, which translates into substantial direct and indirect cost savings.
Data-driven decision-making
A data-driven decision-making process is the cornerstone of successful business management. To guide strategic decisions, companies must capitalize on big data analytics. This empowers organizations to refine business strategies in line with market and customer demands, confidently make informed choices, gain a competitive edge over rivals, and succeed.
Refined customer experiences
Big data is a valuable source of information about market trends, customer preferences, behavior, and more. Businesses can use this information to better understand their audiences and thus tailor targeted marketing strategies, provide personalized offerings, improve customer service, and even anticipate customer needs. This forward-thinking approach helps deliver positive customer experiences while increasing brand awareness and loyalty.
Increased efficiency and productivity
Organizations that have established a robust big data infrastructure can automate mundane data-focused tasks, saving considerable time and thus increasing operational efficiency. Employees can shift their focus toward more complex and high-level activities, leading to streamlined workflows and overall enhanced productivity.
Enhanced risk management
The pivotal role of big data analytics in enhancing risk management is obvious and undeniable. By relying on real-time analytics, enterprises can accurately predict user behavior and activities, forecast market trends, and monitor and respond to fluctuations in real time. This proactive approach empowers businesses to effectively manage and mitigate potential risks, staying one step ahead of constantly evolving and complex challenges.
industries
Big data use cases across industries
The healthcare industry is among the leading sectors significantly influenced by ever-increasing volumes of big data. The applications of big data analytics in healthcare are remarkably versatile, encompassing processing and analyzing patient-related data, such as doctor notes, electronic health records (EHRs)/electronic medical records (EMRs), medical imaging, and research and development (R&D) results. Personalized care plans and recommendations, telemedicine, real-time patient monitoring and alerting, as well as fraud detection, are other prominent ways healthcare organizations can leverage big data.
The rise of algorithmic trading demands innovative and comprehensive solutions to ensure seamless automatic processes and achieve tangible benefits. Data analytics is a crucial tool in realizing these objectives. Fintech organizations leverage real-time analytics to accomplish a broad spectrum of trading tasks, including building predictive models capable of accurately forecasting future market trends, identifying opportunities, and mitigating potential risks. Data analytics also plays a crucial role in shaping multifaceted trading strategies, including backtesting strategies, and estimating the most probable trading outcomes.
The pivotal role of big data in the financial services sector can be traced through multiple use cases. Whether financial companies need to conduct customer analysis, segment their clients based on specific demographics, or create customized marketing strategies, big data analytics is up to the task. With the aid of real-time analytics, the financial industry not only predicts financial market trends and swiftly responds to them but also promptly assesses investment-associated risks and prevents suspicious and fraudulent activities.
Big data analytics is a major driving force for various transportation and logistics operations. Some of these operations include real-time sensor data tracking and dynamic route optimization, making the delivery process transparent, sustainable, and straightforward. By leveraging data analytics, transportation and logistics companies ensure the high quality of sensitive and perishable goods, coordinate warehouse management, implement effective predictive maintenance strategies, and address diverse maintenance needs, among other critical tasks.
Manufacturing is another vivid example of how leading industry verticals can benefit from big data. Processing and analyzing terabytes of real-time manufacturing data helps enterprises streamline the flow of their manufacturing operations, optimize numerous production processes, and avoid a wide range of assembly line issues. The integration of data analytics in manufacturing also fuels efficient supply chain management, risk evaluation, and maintenance regulation, facilitating quality assurance throughout all production stages and minimizing operational costs.
Retail and e-commerce
As highly dynamic and volatile fields, retail and e-commerce require powerful instruments to effectively manage extensive amounts of incoming customer and market data. This key challenge compels online and brick-and-mortar stores to embrace big data analytics as an effective way to gain a deeper understanding of their customers, study purchasing habits, and build accurate customer profiles. This empowers retailers to expand their customer bases, reduce churn rates, and boost sales and revenues, all while maintaining leading positions in today’s extremely competitive market.
tech trends
Our big data competencies
AI and ML
AI and ML are key drivers behind the power of big data. Our experts leverage large and complex datasets to build, train, and deploy accurate AI and ML models that uncover hidden structures, extract valuable insights into trends and behaviors, and provide credible forecasts. The combined power of AI, ML, and big data significantly influences how companies make informed decisions, identify opportunities, and strategize proactive scenarios for growth and success.
Data scientists at EffectiveSoft capitalize on their knowledge of AI and ML, data mining, algorithmic modeling, and statistical tools to analyze and interpret vast amounts of big data. Based on the identified patterns, our specialists aid in making precise and far-reaching predictions about future outcomes, enabling organizations to adapt and respond to consistently changing market conditions in real time.
Business intelligence
Strategically leveraging a multitude of BI tools alongside their business expertise and communication skills, our BI engineers analyze historical data, identify previous and current trends, retrieve insights, and convert the derived information into tangible actions. Through diverse BI best practices and techniques, we guide our clients in developing forward-thinking strategies and optimizing business processes.
With excellent proficiency in cloud computing, we create cloud-based solutions that offer on-demand storage and a plethora of computing resources, enhancing the speed and efficiency of big data processes. The cloud solutions we deploy are built on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) systems, providing critical features, including unparalleled levels of scalability, security, cost efficiency, disaster recovery, and more.
What about you?
We are excited to explore your requirements and tailor our big data services enable your business to efficiently handle large volumes of data.
our process
Our big data development process
Business challenge review
We begin by discussing our clients’ ultimate objectives and expectations and scrutinizing their business environments, domain specifics, and potential data sources. We also review the ongoing short-term and long-term challenges that our clients continually face, brainstorming solutions to overcome all obstacles.
Data collection and preparation
Our next step in the big data development process involves collecting data from multiple sources. Once the required amounts of data have been aggregated, we employ data preparation techniques to process and transform the collected datasets into a suitable form for further data analytics. Among the data preparation techniques we leverage are data cleaning, outlier filtering, dimensionality reduction, data integration, and more.
Data analytics
The data processing phase is followed by the analytics process, where our data analysts thoroughly study individual data components, detecting useful patterns, trends, correlations, and anomalies. The result of this data analytics is the extraction of vital information that businesses can use to gain insights into customer behavior, pinpoint areas for improvement, and streamline their operational workflows.
Business integration
In the final stage, we collaborate closely with our clients to integrate the obtained insights into their decision-making processes. We ensure that these insights effectively address even the most urgent business requirements and strategize future decisions, assisting companies in achieving the desired outcomes and profits.
our advantages
Why choose EffectiveSoft?
Hands-on experience
EffectiveSoft is a leading, full-service big data development company with a twenty-three-year track record of offering custom software development, IT, and data services. We have completed over 1,800 cross-industry projects, including those related to data. This proves that we can leverage our hands-on experience to successfully lead any big data project, regardless of complexity or scope.
Round-the-clock availability
Choosing to partner with EffectiveSoft is a forward-thinking decision for businesses worldwide for many reasons, one of which is our round-the-clock availability. With a notable presence in the USA, LATAM, and Europe, we successfully complete both offshore and nearshore big data projects while delivering continuous support. Our clients can rest assured that they will receive timely responses to any emerging issues and predicaments irrespective of their time zone.
Profound big data expertise
We have an international talent pool of more than 365 specialists, all of whom have in-depth knowledge of industry best practices, advanced technologies, and efficient data-related tools. This profound expertise empowers us to adeptly harness increasing quantities of data and bring tangible value to the table.
Industry-centric approach
Whether companies must deal with extensive volumes of healthcare, biotechnology, or agriculture data, we have them covered. Through our industry-centric approach, we develop efficient big data solutions that consider specific industry nuances and suit even the most sophisticated business demands, enabling organizations to effectively handle ever-growing data streams.
Impeccable quality and security
Globally renowned for the impeccable quality of its digital products and services, EffectiveSoft stands as a trusted partner when it comes to navigating the expansive big data landscape. By leveraging the latest big data technologies and integrating the most stringent security strategies, we successfully tackle complex challenges and deliver powerful and scalable solutions that are compliant with industry security regulations and standards.
Transparent communication
Our close-knit and friendly team prioritizes clear and straightforward communication with both business stakeholders and other team members. Upholding the core principles of openness, honesty, and transparency, we regularly update our clients on the status of their big data projects, including any adjustments and changes.
technologies
Our big data tech stack
- Amazon S3
- Azure Data Lake
- Apache Hadoop
- GCP Cloud Storage
- Cassandra
- Azure Cosmos DB
- Azure Synapse Analytics
- Amazon Redshift
- Amazon DynamoDB
- Apache Hive
- Apache HBase
- Apache NiFi
- Apache Airflow
- Apache NiFi
- Talend
- Informatica
- Zaloni
- Apache ZooKeeper
- Azkaban
- Dremio
- Apache Kafka
- Apache Storm
- Apache Spark
- Apache Flink
- Apache Druid
- Apache Hadoop MapReduce
- Apache Giraph
- Matlab
- Amazon Machine Learning
- Apache Spark MLib
- TensorFlow
- Octave
- R
- Amazon SageMaker
- Azure Machine Learning
- Google Cloud AI Platform
- Open CV
- SpaCy
- Keras
- Apache Mahout
- Gensim
F.A.Q. about big data services
Big data refers to vast, diverse, and complex amounts of information gathered from various sources and growing at unprecedented rates. Leveraging big data, businesses can gain insights into behavior, trends, and operational efficiency, thereby supporting enhanced decision-making and improving business processes.
Efficiently handling extremely large datasets is certainly challenging, but it is possible. To manage all volumes of data with ease, companies must define what kind of information they seek, meticulously organize the collected data, and create clear and informative data visualizations. Additionally, storing data in the cloud gives companies more flexibility and accessibility for successful big data management.
Through close collaboration, data analysts and data scientists run predictive analytics to identify useful patterns in big data. These insights are then leveraged by businesses to drive numerous BI processes and predict future outcomes.
With ISO/IEC 27001:2013 certification, we ensure data security and confidentiality in our processes. When working with our clients’ data, we restrict data access, employ data encryption, implement confidentiality and data retention policies, and sign NDAs with all individuals who have access to the data.
Contact us through our contact/service page or leave a request, and we will immediately reach out to discuss your project.
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