Category

Business Analytics

S-Square - Digital Transformation Services

Data Warehousing

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Data Warehousing

In a fast-paced environment, making sound business decisions at the speed of now is no longer optional. Not surprisingly, disparities resulting in unstructured information and poor data quality are preventing enterprises from increasing their productivity. The end result? Poor decision making, delayed execution, and stymied business processes.

To circumvent these problems, organizations must improve technology adoption, business systems, and data structuring – all at once – to provide actionable information to those who need it the most.

On-demand Information at your fingertips

At S-Square Systems, we know that the first step towards improving your business model is to analyze your business operations from every vantage point. Our solutions encompass the entire lifecycle of information management – from conceptualization to implementation and value creation.

We identify and combine different types of data from myriad sources to develop a “Data to Insight” ecosystem, delivering pioneering solutions – to create, use, share and manage business-sensitive data points across corporate environments.

This improves user engagement and greatly enriches the customer experience by enhancing the ability to share and access vital information – anytime, anywhere.

Practice Areas

Data Warehouse Architecture

  • Define and identify relevant data structures.
  • Manage customer relationships better by providing a consistent view of customers and to-be-done tasks.
  • Ensure informational symmetry between top, middle and bottom tiers.
  • Automated data reporting, analysis, and mining tools.

Dimensional Data Model

  • Understand databases like 1, 2, 3.
  • Simplify and streamline database performance.
  • Enable faster and better database performance.
  • Track customers, employees and interconnecting systems with unmatched ease.
  • Benefit from optimized of databases.

DW Integration with OLTP

  • Ensure fast writes, better management of transactions and low latency.
  • Get helpful snapshots of current and new business processes.
  • Maintain data integrity in multi-access environments.
  • Apply fast data query processing.

Data Mart/Analytics Design

  • Leapfrog efficiency and scope of datasets.
  • Keep pace with constantly evolving analytical and business requirements in an agile way.
  • Get in the driver’s seat for data optimization and streamlining.
  • Reduce dependence on resource-constrained developers.
  • Address end-to-end analytic needs, whether it is departments, businesses or geographic areas.

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Predictive Analytics

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Predictive Analytics

Preparing for the future requires two things: immersive insight into historical trends, and the ability to quickly adapt to the fast-evolving digital landscape – without which, organizations will increasingly find it difficult to meet their business challenges or generate new revenue streams.

The message is simple – Risk management can be a tricky proposition unless carefully dealt with, and there are only two choices:

Leverage predictive analytics to become proactive and forecast future events
or
Lose relevance and become redundant

Predictive Analytics:

The power to foresee the future before anybody else does

We at S-Square Systems do not stop at leveraging analytics technologies to deliver measurable & definitive results. We begin from there, combining a gamut of iterative machine learning and data science tools to:

  • Improve customer safety
  • Lower costs
  • Make better investments
  • Identify and rectify counterproductive patterns
  • Transform decision-making from reactive to proactive

As a technology-driven organization, we know that digital transformation can only occur when the business is as agile and effective as the technology driving it.

Converting existing data into predictive insights, we foresee likely mission-critical outcomes and help you take steps to maximize positive results while minimizing negative ones.

Practice Areas

Predictive Data Modeling

  • Forecast business outcomes with unmatched accuracy.
  • Identify indicators of fraudulent activity within and between data sets.
  • Accelerate development time on models and facilitate speedy deployments.
  • Gain business-defining insights on-the-move and at breakneck speeds.
  • Catapult the potential of data science to where it belongs whilst driving improved ROI.
  • Amplify the power of predictive analytics.

Social Media Analytics

  •  Know what social media can do to grow your business.
  • Get the real-time pulse of your customers exactly where they are.
  • Gain full-spectrum visibility into a specific market and compare results with multivariate data sources.
  • Derive key insights from different perspectives of the same information.
  • Drill-down social sentiment to individual posts by extracting meaningful snippets of online conversations.
  • Bring structure to customers and unlock real value from it.
  • Select ideal fit social media sites that best serve your purposes.

Behavioral Analytics

  • Identify specific problems to make sure the end result is actionable information.
  • Gain insights into the actual behavior of consumers regardless of platforms, applications or channels.
  • Turn normal users to power users through white-glove engagement.
  • Explore and influence customer sentiment as it relates to your brand.
  • Know what it takes to turn skeptical customers into actual customers and eventually, repeat customers.
  • Eliminate the gap between raw insights and revenue-generating engagement.

Cloud Analytics

  • Understand how cloud analytics is the best analytics for your business.
  • Make the most of all the elements of cloud-driven analytics.
  • Get more out of your data.
  • Unlock the collective power of your data sources to inform critical decisions.
  • Support disparate data using cost-effective and scalable solutions.
  • Enable secured connectivity across cloud and on-premise data sources.
  • Speed up the journey towards data-driven agility and digital transformation.

IoT Analytics

  • Harness the power of data on the internet.
  • Minimize maintenance costs, avoid equipment failures and improve business operations.
  • Blend machine and sensor data with enterprise applications, data warehouses, maintenance history, GPS devices, and more.
  • Effortlessly manage data complexity and volume to ensure failure-proof implementation of analytics.
  • Trace meaningful patterns with compelling visualizations and strategic analysis.
  • Apply equipment-driven insights to drive better operational efficiency.
  • Discover subtle patterns in device data using powerful data mining and machine learning mining tools.

Machine Learning Analytic Engines

  •  Leap from idea to implementation in a matter of clicks.
  • Predict and change future events before they happen.
  • Build insight engines that provide advanced and customer-centric data points.
  • Speedily deploy data-driven and communication-driven engines to manage big data better than competition.
  • track millions of metrics across applications to define normal customer behavior.
  • Deliver instant analysis of root cause and make intelligent recommendations for current or past incidents.
  • Drive optimal business outcomes by implementing best-in-class algorithms that consider contextual and sudden behavioral changes.

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Big Data

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Big Data

There is no debating that data is the new currency. But the sheer dimension, velocity, dynamism, and the rate at which data currents are created, poses new threats – to be acquired, interpreted and transferred – at the speed of now.

As with everything else the world experiences, data-driven organizations stand to gain from being in the thick of this data war, by expanding their offerings to suit customers that are willing to do the talking.

Fortunately, the trail these customers leave in the online world can not only be listened to but also decoded – for businesses to react.

Don’t be left behind. The time to act is now.

Thrive at the Speed of Data

Data only becomes meaningful, when it is well fraught with insights and analytics that maneuver customer expectations. When this data connects the dots between every business goal and acts as soothsayers of the future, a true transformation will occur.

Enter S-Square Systems.

From bringing extensive value to big data, with business strategy and architecture, we are able to dive deep into customer interactions, manage supply chains, read through raw data and achieve total data literacy.

Practice Areas

Big Data Empowerment

  • Find hidden patterns in data to see the big picture of your business.
  • Stay ahead of your key KPIs and metrics by delivering actionable business solutions.
  • Better gauge and fulfill customer needs.
  • Adapt and optimize big data services in high contact, business-critical systems.
  • Unlock the key to greater business impact and industry disruption.
  • Combine the agility of big data processes with AI capabilities to accelerate business value delivery.
  • Make data decide the story of your business in all its nuances and granularity.

Big Data Strategy and Roadmap definition

  • Provide detailed information to supercharge a comprehensive business strategy.
  • Drive short-term and long-term business value.
  • Sift through an assortment of tools and solutions to ensure the selection of ideal-fit options that will drive results.
  • Define and implement the right big data strategy.
  • Deliver a shared and uniform view of what big data means to your organization.
  • Define proof of concepts and involve all members of the department.

Big Data Strategy and Roadmap definition

  • Comprehensive evaluation of big data platforms.
  • Define business cases to demonstrate business value.
  • Reduce the cost, effort, and resources to gauge business data.
  • Execute technology proof of concept and develop pilots to assess technology capability and harness the potential of big data.
  • Develop analytics frameworks for big data use cases.
  • Implement advanced data visualization for advanced analytics and big data predictive modeling.

Big Data Solution Accelerators

  •  Enable rapid adoption of big data across the enterprise.
  • Out-of-box accelerator with pre-built reports and dashboards.
  • Support your business platforms with real-time analytics.
  • Uncover new and richer insights faster than competition.
  • Decode the trick to survive and thrive amidst a big data ecosystem.
  • Implement advanced analytics to seamlessly integrate the variety and velocity of data entering your business.
  • Build future-ready analytic applications tailored to meet the specific demands of your organization.

Big Data Visualization and Analytics

  • Transform Big Data into Bigger Insights.
  • Comprehend and communicate critical information on the fly.
  • Grasp difficult concepts and identify hidden patterns and tends.
  • Identify areas that need improvement and attention.
  • Clearly define factors that influence customer behavior.
  • Forecast sales volumes with picture perfect accuracy.
  • Quickly pinpoint meaningful relationships to focus on areas that matter most to your business.
  • Unravel billions of rows of data within seconds.

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Data Management

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Data Management

In a fast-paced environment, making sound business decisions at the speed of now is no longer optional. Not surprisingly, disparities resulting in unstructured information and poor data quality are preventing enterprises from increasing their productivity. The end result? Poor decision making, delayed execution, and stymied business processes.

To circumvent these problems, organizations must improve technology adoption, business systems, and data structuring – all at once – to provide actionable information to those who need it the most.

On-demand Information at your fingertips

At S-Square Systems, we know that the first step towards improving your business model is to analyze your business operations from every vantage point. Our solutions encompass the entire lifecycle of information management – from conceptualization to implementation and value creation.

We identify and combine different types of data from myriad sources to develop a “Data to Insight” ecosystem, delivering pioneering solutions – to create, use, share and manage business-sensitive data points across corporate environments.

This improves user engagement and greatly enriches the customer experience by enhancing the ability to share and access vital information – anytime, anywhere.

Practice Areas

Customer Data Management

  • Create a 360 degree, single customer view.
  • Grow the size of your business by enhancing customer loyalty and retention.
  • Get 100% visibility over customer activity to predict and tackle fraudulent behavior.
  • Reduce risk and uncover hidden opportunities like Upselling and Cross-selling.
  • Dismantle silos and supercharge data quality.
  • Minimize risks, maximize opportunities and identify trends to grow your business.

Master Data Management

  • Comprehensive view of business-specific aspects with visually delightful exploration, self-service access and user-friendly dashboard capabilities.
  • Agile and self-service access to reliable data.
  • A modular approach to drive decision making customer experience and compliance.
  • Acquire data quickly – be it on-premises, on the cloud, or from third-party.
  • Transform master data using external data providers.
  • Identify trends and relationships within data.

Meta Data Management

  • Extensive connectors for indexing and scanning metadata.
  • Discovery of data domain and relationship.
  • Maximize business outcomes for data-powered enterprises.
  • Optimize business value of information assets via data governance and data analytics.
  • Complete visibility of rules, objects transformation and reference data.
  • Semantic search and browsing.

Data Quality

  • Deliver clean, high-quality and trusted data regardless of format, technology, platform and size of data.
  • Optimize business value by fueling all critical initiatives with relevant, trustworthy and lightning fast data.
  • Minimize resource wastage and drive down costs.
  • Identify, monitor and resolve data quality problems on cloud and on-premise applications.
  • Build trust among your customers with enriched and secure email, address and phone data.

Data Analysis and Design

  • Capitalize on data and gain detailed access to data points using cutting-edge data analysis techniques.
  • Visually understand business needs through innovative design approaches to facilitate better decisions.
  • Convert business information requirements into extractable and flexible data structures.
  • Analyze and model data, KPIs, metrics, testing and documentation.

Data Governance

  • Holistically manage your data to reduce risks and costs, stay compliant and expand your business.
  • Fast-track data-packed digital transformation.
  • Exceed bottom-line objectives, improve business efficiencies, lower costs and simplify mergers and acquisitions.
  • Decode fault-proof ways to use data as an asset to retain competitive advantage.
  • Govern data policies, processes and standards on a single platform.
  • Drive product innovation across the platform.

Data Security

  • Achieve digital transformation through an unmatched suite of security solutions.
  • Protect user data, applications and infrastructure.
  • Safeguard and amplify the potential of your full-spectrum value chain.
  • Enable data security intelligence to sensitive data vulnerabilities.
  • Upscale privacy controls to prevent disclosure of and unlawful access to confidential and private information.
  • Automated and secure provisioning of non-production datasets.

Data Integration Architecture

  • Ensure repeatable and sustainable data integration best practices.
  • Break down silos and drive enterprise-uniformity of data collection and dissemination.
  • Lower data latency by responding faster to both threats and opportunities.
  • Bridge the gap between warehouse and real-time information.
  • Provide users with timely information on what is happening now and what will happen next.

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Business Intelligence

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Business Intelligence

Lots of data, but no real information. Sounds familiar?

In an era where information overload is increasingly becoming the norm, many organizations make do with inadequate tools because they’re unsure about how exactly business intelligence solutions can deliver value. As a result, they are unable to analyze the hidden potential of unstructured data to drive effective decisions.

Just as every keystroke leaves a digital footprint on a stockpile of data, the key lies in understanding the difference between information and data, because information is data which is converted into a meaningful context, ready to harvest insights.

Connect, Respond and Deliver

As experts in BI maneuvering, S-Square Systems is committed to helping you discover perfect and fail-proof ways of delivering tangible business benefits. Our unmatched repository of BI solutions takes away the complexities of critical business metrics, eliminates waste and accelerates strategic decision-making.

Apart from defining your business goals and helping you accomplish them, we reduce client challenges and add meaning to customer satisfaction – driven by our ability to maximize ROI on your BI initiatives.

In a nutshell, we don’t let the data quandary stand between you and your business objectives.

Practice Areas

BI Dashboarding and Scorecards

  • Focus on exactly the measurements that matter to your business.
  • Gain 360-degree visibility into every aspect of your business process.
  • Identify the best KPIs to determine your organization’s progress.
  • Know visually-compelling real-time tactical changes.
  • Drill-down deep to the bottom-level information and stay on top of your business goals.

Business Readiness Assessment

  • Determine the probability of success and failure of your business in no uncertain terms.
  • Validate the accuracy and veracity of your current BI solution.
  • Develop contingency plans by identifying strengths, weaknesses, possibilities and roadblocks.
  • Identify business opportunities before launching a project.
  • Scale up our chances of driving long-term ROI and Bottom-line.

BI Roadmap Planning

  • Define and implement clear “how-to” paths towards improving all aspects of BI strategy.
  • Pinpoint the key pain-points to prioritize your goals.
  • Know how to get to where you want to from where you currently are – through conceptual planning.
  • Outline the project’s Lifecycle for decision-driven applications.
  • Ensure data viability, data reliability and data completeness.
  • Track the increase in BI maturity and productivity to drive better decisions.

BI Tools and Technologies Evaluation

  • Select the right tool for the right process.
  • Save costs by updating redundant technologies.
  • Gather and prioritize BI requirements.
  • Determine how to identify and factor in additional costs into product comparisons.
  • Ensure speed, scalability and ease of analytical use.
  • Go from reactive to proactive by leveraging real-time, data-driven insights.

BI Optimization Services

  • Perform regular and incisive health check-ups of your business systems.
  • Adopt a holistic approach to performance tuning.
  • Identify the quickest and most efficient methods to optimize your BI environment.
  • Scale down maintenance efforts.
  • Accelerate business growth and deliver better outcomes.
  • Optimize technology to minimize waste and drive revenues.

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Business Analytics

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BUSINESS ANALYTICS

Data is the lifeblood of any modern digital organization, and digital platforms will only prove effective if they are able to convert data into value. With the herculean growth in both data & data sources – plus skyrocketing customer expectations – the writing is on the wall – companies can no longer afford to lose this data war. Today’s solutions cannot solve tomorrow’s problems.

The need of the hour is to detect and harness these data lakes and not just surpass expectations but predict them – all at breakneck speed.

This is where we step in, reverse the trend and transform the quality of your business solutions and in effect, customer experience.

Do More, Be More and Deliver More

As a results-obsessed Solutions Provider, our 360° embedded analytics deliver all the intelligence you need to unlock the hidden potential behind data and stay one-step ahead of the game. Our offerings are an ideal fit for companies that are keen to accelerate their “data-to-value” cycle.

Our Business Analytics solutions connect customers, businesses, employees, and partners – by making sense of raw data and scripting success stories across the digital ecosystem.

We leverage SMAC (social, mobile, analytics and cloud) technology to extract intel from your data, allowing you to separate the wheat from the chaff and benefit from a digitally empowered, data-driven experience – a sign of true success in the eyes of your customer.

S-Square Methodology for Business Analytics

Solutions

Data Management

Reduce follow-up costs, foresee problems that can negatively impact customer satisfaction, and resolve them before they escalate – through effective management of data assets.

Big Data

When you put big data at the center of your business, you can be sure of deeper customer insights that will enable lightning fast response.

Predictive Analytics

Improve operational efficiency, accelerate decision-making, predict outcomes and contain risks, in a bid to improve performance and circumnavigate the unexpected.

Data Warehousing

Aggregate structured data from multiple sources so that it can be compared and analyzed for greater business intelligence and to provide greater executive insight into corporate performance.

Business Intelligence

Speed up the journey of true digital transformation with our end-to-end spectrum of advanced analytics that maximizes bottom-line and ROI.

Technologies

S-Square’s experience spans across a multitude of technologies and platforms in the Enterprise Analytics realm. S-Square has proficiency in many popular open source databases and advanced and predictive analytics platforms. We operate desired tools and technologies to offer open architecture solutions right from organizing the data with best governance practices to storing, processing, integrating and cleansing data to final visualization, we have the latest tools and platform capability.

RESOURCES

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To get started with Our Business Analytics Services, contact S-Square today through “Send us a Message” and we will put you in touch with one of our Data Engineering and Data Science Experts. You can also “Schedule an Appointment” to talk to our experts.

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