Data Analytics Services

Evaluate your data better & draw insights quicker with our scientific data analytics solutions.

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Capital Numbers is the preferred choice of Fortune 500 Firms, SMEs, Agencies and Startups to access India's top 1% software developers.

Data Analytics Services & Solutions

Data Science

Since Capital Numbers has an in-depth knowledge of Data Structures and Algorithms (DSA), we know the scientific techniques to extract interesting patterns from data. Our custom logic and algorithms can offer critical insights from noisy, unstructured data sets and help you find untapped growth areas you weren’t aware of.

Data Management

Our well-versed engineers handle end-to-end data management processes that require them to extract, transform, secure, load, de-duplicate, and clean data. We even choose suitable databases depending on the variety and volume of your use cases so that data querying or accessibility isn’t a problem for you in the future.

Data Migration

With us by your side, you can safely migrate data between on-premise and cloud environments. Our data analysts and DevOps engineers are certified professionals with risk-tackling expertise. So, we know how to retain your data integrity during transitions without causing outages or downtimes.

Data Democratization

Because we have a solid understanding of emerging data-based tools, we can democratize data so that everyone in your organization - from sales, marketing, HR, and IT professionals to C-suites can access them freely. We aim to make data available to all so that there are no silos and you become a data-driven organization.

Consultation Services

Since we’ve successfully delivered data projects for several global clients, we are well-equipped to offer consultation services. Backed by our experiences, we can advise you on new techs, reporting tools, action plans, gaps, timelines, trends, etc., bringing things into perspective and expanding your data knowledge.

Data Visualization

By establishing relations between various data points, Capital Numbers creates beautiful data visualizations. Our stunning visualizations presented through graphical dashboards include charts, maps, plots, line bars, etc. By visually representing data, we help you uncover new trends and analytics you didn’t know existed.

Data Warehousing

Are you struggling to bring together fragmented data points from disparate sources? Let us help you. We can pull scattered data from various locations and store them in a single repository. By unifying data in a data lake or a warehouse, we can create a single source of truth (SSOT) that you can refer to whenever you need it.

Data Security and Compliance

Your data security is paramount to us. Whether you need to create a data store from scratch or upgrade a legacy store, our engineers constantly invest in technologies to encrypt your data so that sensitive information never gets lost, stolen, or damaged due to sudden upgrades or changes in network settings.

Data Monetization

We don’t just help you unlock insights out of data but also allow you to make money out of it. We can embed new revenue streams like ads, subscriptions, payment gateways, etc., using which you can sell your data. As your trusted partner, we’ll enable the best commercial opportunities suited to your needs to help you outdo your peers.

Big Data & Data Lakes

Gain access to real-time business insights by reconfiguring your data resources and co-developing a hybrid architecture for delivering high-value intelligence. We also enable clients to leverage data lake solutions on-premise and on-cloud cost-effectively.

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We're happy to hear your project goals and turn them into a next-level digital product. Get a free consultation to make this happen!

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Here’s How Our Data Analysis Process Works

Defining the Need

Data Collection

Data Cleaning

Data Analysis

Data Visualizations

Interpreting Results

Defining the Need

We first figure out why we’re doing the analysis. We define the project goals, use cases, metrics to consider, and sources to collect data from.

Data Collection

Next, we start collecting data from various sources like surveys, APIs, third-party websites, business lists, archives, records, and online communities.

Data Cleaning

Not all data is valuable. So, we begin cleaning up irrelevant info, errors, white spaces, overlaps, and outliers before preparing the data list for analysis.

Data Analysis

In this step, we evaluate the available data using powerful analytical techniques to determine the value and potential of the data.

Data Visualizations

Based on our findings, we share our insights through graphs/charts for people to arrive at conclusions.

Interpreting Results

Guided by our scientifically-presented results, our stakeholders plan their next course of action to accomplish a positive outcome in the future.

Let's Discuss Your Project

We're happy to hear your project goals and turn them into a next-level digital product. Get a free consultation to make this happen!

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Data Analysis Techniques We Adopt

Some of the systematic analytical approaches we adopt to help companies make sense of their data are:

Statistical Analysis

We conduct statistical analysis using mathematical formulas and algorithms to learn relations and interdependencies between data variables.

Diagnostic Analysis

Using insights from statistical analysis, we perform diagnostic analysis to understand the reasons that led to past patterns and use the reasoning to solve current challenges.

Predictive Analysis

Based on past and current events, we conduct predictive analysis where we try to identify the likelihood of future outcomes and events.

Prescriptive Analysis

By comparing all the insights, we perform a prescriptive analysis where we recommend and suggest processes that can help achieve what we set out for.

Let's Discuss Your Project

We're happy to hear your project goals and turn them into a next-level digital product. Get a free consultation to make this happen!

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Tools We Use for Data Analysis

To offer our clients complete scalability, simplified maintenance, and effective cost management, we offer solutions based on cloud services. The platforms we use are Amazon Web Services, Microsoft Azure, and Google Cloud Platform.

To help our clients take full advantage of the power of big data, we build data lakes and data pipelines. We also use distributed processing solutions together with orchestration tools such as Spark, Hadoop, Hive, Presto, Kafka, and Airflow.

We help our clients optimize their transactional databases and build advanced analytical systems by implementing ETL processes, data pipelines, data warehouses, and data marts using MySql, PostgreSQL, Oracle, Redshift, and BigQuery.

Dedicated solutions such as NoSQL databases improve working with unstructured data, which many of our clients have. To streamline the process, we use tools such as MongoDB, DynamoDB, Cassandra, and HBase.

By implementing business intelligence solutions we help our clients become fully data-driven companies and stay ahead of their competition. We specialize in Tableau and PowerBI.

Using leading market tools, for example Elasticsearch, Logstash, and Kibana, we implement solutions such as full-text search, log-parsing engines, and analytics platforms.

We use tools such as Kinesis, DataFlow, Storm, and Flink to help our clients process and analyze large amounts of data in real time.

Industries We Serve

We’ve tackled some very daunting data challenges for our partners across industries like:

Automotive
Marketing

Cyber Security
IT Infrastructure

Web Scraping
eCommerce

Let's Discuss Your Project

We're happy to hear your project goals and turn them into a next-level digital product. Get a free consultation to make this happen!

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