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Unlock the full potential of your business with big data advantages. Discover the key benefits and how big data can revolutionize your operations, improve decision-making, and drive innovation.

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The cloud is a means, not an end to the transformation. While large organizations successfully implement or adopt a cloud-first strategy for new systems, many struggle to extract the full value of moving the bulk of their enterprise systems to the cloud. This is because they tend to move IT systems to the cloud instead of chalking the transformational strategy needed to realize the full potential of the cloud. Just moving legacy applications to the cloud using a lift-and-shift procedure will make IT architectures complex, cumbersome and costlier instead of yielding the benefits that cloud infrastructure and systems are meant to provide.

Cloud adoption for digital transformation

The cloud acts as a force multiplier. Its actual value is best realized when you make it a part of a larger strategy to pursue digital transformation. Such a strategy is enabled by the standardization and automation of the IT environment, adopting a modern security posture, working with an automated agile operating model and leveraging new capabilities to drive innovative business solutions. Organizations that view cloud capabilities in this way can create a next-generation IT capable of enabling business growth and innovation.

Cloud adoption challenges

In an increasingly digitalized environment, whether a business requires utilizing cloud services is no longer the question. The considerations are more around which type of cloud services are required and how to execute a successful cloud migration. With the movement towards a multi or hybrid cloud environment using public cloud platforms, the typical challenges that you might face include:

Under-utilization of cloud capacity

Unclear cloud migration paths or loose adoption frameworks

Cloud security concerns

Absence of talent with the right cloud skills

Dearth of reliable cloud partners with an understanding of business processes, traditional IT and the nuances of cloud

Inappropriate pricing and licensing issues causing cost overruns

Based on the current scenarios, let’s understand what steps are essential to consider when it comes to cloud adoption for your organization.

Cloud discovery and migration

Understanding what would constitute a perfect cloud environment for your business is critical to cloud adoption. Discovering the cloud value and cloud migration paths is essential to create a sustainable cloud-based transformation. The parameters to achieve a successful migration need to be defined:

Establishing the right cloud architecture

Determining areas of your existing architecture that should be migrated or phased out

Building transition roadmaps that ensure adoption

Providing clear ROI and TCO parameters

A stronger go-to-market strategy

Cloud native development

Custom application development, monitoring and scaling in line with your unique PaaS, IaaS or SaaS needs is the way to go when it comes to cloud adoption. Determining optimal data strategies for your organization and content distribution processes is mandatory too. You should have feasible and cost-efficient solutions for your mobile, IoT, Ecommerce or machine learning depending on your priorities.

Connecting business goals to the cloud architecture

Creating effective enterprise cloud architecture requires collaboration with the business and operations teams for you to understand feasibility, usage and scale. You must first define business goals and together with a cloud reference model, figure out what traditional components from the current application architecture can be migrated to the cloud. As part of most cloud architectures, you’ll need to keep a robust security posture and leverage containerized solutions for adding value to your cloud adoption.

Extracting superior outcomes with cloud and DevOps

Using DevOps with cloud services allows you to follow a CI-CD model for pipeline automation when it comes to application, database or cloud services in general. A strong cloud presence with a DevOps culture means that your entire delivery pipeline is more responsive to change. DevOps integration targets feature development, automation testing, quality testing, product delivery and maintenance releases in order to improve reliability and security and provide faster development and deployment cycles. You can expect the following business outcomes with this combination:

Improved deployment frequency

Faster time to market

Lower failure rate of new releases

Shortened lead time between fixes

Faster mean time to recovery

Minimal or zero downtime

The cloud-DevOps combination makes your delivery pipeline agile, flexible and secure enough to adapt to changing trends and consumer preferences.

The way to the right cloud for you

You needed just one cloud vendor in the old cloud days. Today you need an all-encompassing multi-cloud strategy across multiple public clouds or a hybrid cloud strategy across your on-premise data centers and the public cloud.

Managing IT resources, ranging from servers and storage to complex applications, requires considerable time, effort and expertise. Successful companies are focusing on their core business and not managing data centers or their applications. With a fully managed cloud service, businesses can use the power of cloud computing, ranging from basic compute and storage to complex technologies such as AI and ML.

Serverless computing for hassle-free service

Build and run applications without thinking about provisioning, maintaining, and administering the servers. Serverless helps reduces the complexity for building a modern scalable application, while enabling a high level of independent services with no servers to manage and a pay-per-use pricing model. You no longer need to worry about ensuring application fault tolerance and availability. This allows you to focus on product innovation while enjoying faster time-to-market.

At Systems Plus, we believe that with cloud computing, organizations get to have it all: scalability, agility, flexibility and efficiency besides saving on costs and time. Adopting the cloud is far more complex than simply using someone else’s datacenter. Cloud adoption requires organizations to fundamentally shift their model and behaviors to a consumption model rather than a Capex model.

We have the proven skills, expertise and certification to help your organization successfully and strategically adopt the cloud. With experience in all layers of the platform: infrastructure, application, data, security, policy and pipeline, we navigate the people, processes and tools that script success for you. As your strategic partner and a one-stop provider, we help your organization get cloud-fit by guiding you to discover the right cloud adoption strategy and ensure full-service cloud adoption. Giving you our best to help you make the most. And stay ahead of the competition!

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Fast, data-informed decision-making can drive business success. Managing high customer expectations, navigating marketing challenges, and global competition – many organizations look to data analytics and business intelligence for a competitive advantage.

Using data to serve up personalized ads based on browsing history, providing contextual KPI data access for all employees and centralizing data from across the business into one digital ecosystem so processes can be more thoroughly reviewed are all examples of business intelligence.

Organizations invest in data science because it promises to bring competitive advantages.

Data is transforming into an actionable asset, and new tools are using that reality to move the needle with ML. As a result, organizations are on the brink of mobilizing data to not only predict the future but also to increase the likelihood of certain outcomes through prescriptive analytics.

Here are some case studies that show some ways BI is making a difference for companies around the world:

1) Starbucks:

With 90 million transactions a week in 25,000 stores worldwide the coffee giant is in many ways on the cutting edge of using big data and artificial intelligence to help direct marketing, sales and business decisions

Through its popular loyalty card program and mobile application, Starbucks owns individual purchase data from millions of customers. Using this information and BI tools, the company predicts purchases and sends individual offers of what customers will likely prefer via their app and email. This system draws existing customers into its stores more frequently and increases sales volumes.

The same intel that helps Starbucks suggest new products to try also helps the company send personalized offers and discounts that go far beyond a special birthday discount. Additionally, a customized email goes out to any customer who hasn’t visited a Starbucks recently with enticing offers—built from that individual’s purchase history—to re-engage them.

2) Netflix:

The online entertainment company’s 148 million subscribers give it a massive BI advantage.

Netflix has digitized its interactions with its 151 million subscribers. It collects data from each of its users and with the help of data analytics understands the behavior of subscribers and their watching patterns. It then leverages that information to recommend movies and TV shows customized as per the subscriber’s choice and preferences.

As per Netflix, around 80% of the viewer’s activity is triggered by personalized algorithmic recommendations. Where Netflix gains an edge over its peers is that by collecting different data points, it creates detailed profiles of its subscribers which helps them engage with them better.

The recommendation system of Netflix contributes to more than 80% of the content streamed by its subscribers which has helped Netflix earn a whopping one billion via customer retention. Due to this reason, Netflix doesn’t have to invest too much on advertising and marketing their shows. They precisely know an estimate of the people who would be interested in watching a show.

3) Coca-Cola:

Coca Cola is the world’s largest beverage company, with over 500 soft drink brands sold in more than 200 countries. Given the size of its operations, Coca Cola generates a substantial amount of data across its value chain – including sourcing, production, distribution, sales and customer feedback which they can leverage to drive successful business decisions.

Coca Cola has been investing extensively in research and development, especially in AI, to better leverage the mountain of data it collects from customers all around the world. This initiative has helped them better understand consumer trends in terms of price, flavors, packaging, and consumer’ preference for healthier options in certain regions.

With 35 million Twitter followers and a whopping 105 million Facebook fans, Coca-Cola benefits from its social media data. Using AI-powered image-recognition technology, they can track when photographs of its drinks are posted online. This data, paired with the power of BI, gives the company important insights into who is drinking their beverages, where they are and why they mention the brand online. The information helps serve consumers more targeted advertising, which is four times more likely than a regular ad to result in a click.

Coca Cola is increasingly betting on BI, data analytics and AI to drive its strategic business decisions. From its innovative free style fountain machine to finding new ways to engage with customers, Coca Cola is well-equipped to remain at the top of the competition in the future. In a new digital world that is increasingly dynamic, with changing customer behavior, Coca Cola is relying on Big Data to gain and maintain their competitive advantage.

4) American Express GBT

The American Express Global Business Travel company, popularly known as Amex GBT, is an American multinational travel and meetings programs management corporation which operates in over 120 countries and has over 14,000 employees.

Challenges:

Scalability – Creating a single portal for around 945 separate data files from internal and customer systems using the current BI tool would require over 6 months to complete. The earlier tool was used for internal purposes and scaling the solution to such a large population while keeping the costs optimum was a major challenge

Performance – Their existing system had limitations shifting to Cloud. The amount of time and manual

effort required was immense

Data Governance – Maintaining user data security and privacy was of utmost importance for Amex GBT

Solution:

The company was looking to protect and increase its market share by differentiating its core services and was seeking a resource to manage and drive their online travel program capabilities forward. Amex GBT decided to make a strategic investment in creating smart analytics around their booking software.

The solution equipped users to view their travel ROI by categorizing it into three categories cost, time and value. Each category has individual KPIs that are measured to evaluate the performance of a travel plan.

Results:

Reducing travel expenses by 30%

Time to Value – Initially it took a week for new users to be on-boarded onto the platform. With Premier Insights that time had now been reduced to a single day and the process had become much simpler and more effective.

Savings on Spends – The product notifies users of any available booking offers that can help them save on their expenditure. It recommends users of possible saving potential such as flight timings, date of the booking, date of travel, etc.

Adoption – Ease of use of the product, quick scale-up, real-time implementation of reports, and interactive dashboards of Premier Insights increased the global online adoption for Amex GBT

5) Airline Solutions Company: BI Accelerates Business Insights

Airline Solutions provides booking tools, revenue management, web, and mobile itinerary tools, as well as other technology, for airlines, hotels and other companies in the travel industry.

Challenge:

The travel industry is remarkably dynamic and fast paced. And the airline solution provider’s clients needed advanced tools that could provide real-time data on customer behavior and actions.

Solution:

They developed an enterprise travel data warehouse (ETDW) to hold its enormous amounts of data. The executive dashboards provide near real-time insights in user-friendly environments with a 360-degree overview of business health, reservations, operational performance and ticketing.

Results:

The scalable infrastructure, graphic user interface, data aggregation and ability to work collaboratively have led to more revenue and increased client satisfaction.

6) A specialty US Retail Provider: Leveraging prescriptive analytics

Challenge/Objective: A specialty US Retail provider wanted to modernize its data platform which could help the business make real-time decisions while also leveraging prescriptive analytics. They wanted to discover true value of data being generated from its multiple systems and understand the patterns (both known and unknown) of sales, operations, and omni-channel retail performance.

Solution:

We helped build a modern data solution that consolidated their data in a data lake and data warehouse, making it easier to extract the value in real-time. We integrated our solution with their OMS, CRM, Google Analytics, Salesforce, and inventory management system. The data was modeled in such a way that it could be fed into Machine Learning algorithms; so that we can leverage this easily in the future.

Results:

The customer had visibility into their data from day 1, which is something they had been wanting for some time. In addition to this, they were able to build more reports, dashboards, and charts to understand and interpret the data. In some cases, they were able to get real-time visibility and analysis on instore purchases based on geography!

7) Logistics startup with an objective to become the “Uber of the Trucking Sector” with the help of data analytics

Challenge: A startup specializing in analyzing vehicle and/or driver performance by collecting data from sensors within the vehicle (a.k.a. vehicle telemetry) and Order patterns with an objective to become the “Uber of the Trucking Sector”

Solution:

We developed a customized backend of the client’s trucking platform so that they could monetize empty return trips of transporters by creating a marketplace for them. The approach used a combination of AWS Data Lake, AWS microservices, machine learning and analytics.

Results:

Reduced fuel costs

Optimized Reloads

More accurate driver / truck schedule planning

Smarter Routing

Fewer empty return trips

Deeper analysis of driver patterns, breaks, routes, etc.

8) A niche segment customer competing against market behemoths looking to become a “Niche Segment Leader”

Solution: We developed a customized analytics platform that can ingest CRM, OMS, Ecommerce, and Inventory data and produce real time and batch driven analytics and AI platform. The approach used a combination of AWS microservices, machine learning and analytics.

Results:

Reduce Customer Churn

Optimized Order Fulfillment

More accurate demand schedule planning

Improve Product Recommendation

Improved Last Mile Delivery

How can we help you harness the power of data?

At Systems Plus our BI and analytics specialists help you leverage data to understand trends and derive insights by streamlining the searching, merging, and querying of data. From improving your CX and employee performance to predicting new revenue streams, our BI and analytics expertise helps you make data-driven decisions for saving costs and taking your growth to the next level.