CodeCoda

CodeCoda aims to deliver worldclass software solutions to companies for smooth corporate operations around the globe. Its

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technology transmissions” at the core of their strategies. Cutting Edge Technology brings Efficiency CodeCoda always uses the latest bits of technology to maximize production efficiency, but nothing would have been possible without human resources’ cumulative power. CodeCoda cultivates talent and develops it; it doesn’t hire people and use them as a missing piece in a defined set. Instead, employees grow free and choose their destination and that of the company.

Leveraging Big Data for Digital Transformation Outsourcing big data analytics helps an organization make the new generation of analytical solutions and ultimately make more predictable data-driven decisions. Gartner Research shows that 75 percent of companies are investing or planning to invest in big data. It’s no surprise that some of the largest and most successful companies worldwide rely heavily on big data analytics. As big data analytics enable companies to make smarter business moves, increase operation efficiency, and generate more revenue, CodeCoda stands at the forefront of this technology, delivering a comprehensive analysis of Big Data Specialists. These specialists help companies find a solution that matches their business case. Big data analytics is one of CodeCoda’s primary services. In this field, it often deals with high velocity and volume of data exchange. Although immediate attention to such a fastpaced environment is paramount, the company also likes

dedication to customers has shaped the company into the most trusted advanced software solutions provider today.

Dr. Andreas Maier

to use the accumulated data to peek at the bigger picture. Therefore, CodeCoda also applies Big Data Transformations for AI and analytical insight into the eCommerce and Fintech Industry.

Implementing Exceptional AI technologies Disruptive technologies take time to become part of peoples’ lives. However, CodeCoda believes that such carry the torch of innovation and will paint our foreseeable future. New tech solutions have advanced mechanics to keep complexity under the hood while keeping it clean on the outside. These are the products and services CodeCoda’s clients enjoy and expect. Staying Focused on the Mission One of the most recent challenges of CodeCoda is the COVID and its consequences on most industries, including the immediate area of operations. “A pandemic like this was never seen in our history as humans,” says Andreas. CodeCoda prevailed by focusing on the mission as a provider and adapted to the restrictive nature of these new conditions. Remarkable Past Achievements Considering the company’s project success rate, testimonies it received from its past clients, and the ongoing recognition in the market, CodeCoda believes the only possible way it goes from here is up. As per Andreas, the company knows the sky is the limit and is going for it.

Top Trends in Big Data Analytics That will dominate in 2021.

It is the intrinsic nature of technology to keep evolving and becoming better with time. In today’s age, every business relies on small or big data and valuable insights derived from it. Big data analytics is highly resourceful when it comes to understanding the target audience and their preferences and feedback for the products and services provided by businesses and service providers. Using this, brands and businesses can easily anticipate customer needs and help organizations achieve their goals while outshining in market competition and corroborate their mark with data-driven strategies. Currently, this industry is worth US$189 Billion, which is an expansion of US$20 Billion more than 2018, and is forecast to reach US$247 Billion by 2022.

Actionable Data: 2021 will see more emphasis on actionable data. This data signifies the missing connection between business prepositions and big data. While a business can invest in the high-end big data software and tools, data in itself is useless without analysis as it mostly exists in excessively mindboggling, unstructured, multi-format, and voluminous form. So, businesses will focus on data analytics that shall help extract actionable data insights. This implies the insights mined can help make business decisions, improve organizational activities, and plan all the more big data use cases.

Accessible Data: Big data is set to become much more accessible, and therefore much more useful. Today, many enterprises struggle with unifying all of the sources of data. While building data lakes and other flexible storage environments was a major priority in 2018, 2021 will see much of this critical data be housed in systems that are much more accessible by the tools that will use them (visualization, analysis, predictive modeling). This can open up limitless possibilities for every aspect of business operations to be purely data-driven, says Sam Underwood, VP of Business Strategy at Futurety, a data analytics and marketing agency.

Big Data in Climate Change: Climate Change may not be a new topic for scientists, but leveraging big data to fight against it can be mainstream in 2021. In fact, it is believed that by leveraging big data by the researchers can help us in knowing about the current stage of carbon dioxide emissions and the remedies to the situation. Not only that, even data from meteorological research, earth sciences, ocean research, and even nuclear research facilities are stipulated to help us understand climate change and other primary environmental conditions related to the planet. Database as a Service: While, Data as a service uses cloud technology to give users and applications with on-demand access to information without relying on the location of the users or applications, companies may take a step further. Introducing Database as Service- merging big data analytics solutions to meet the fast-growing client needs using customer information. By integrating big data analytics solutions into their platforms, DBaaS providers will host and manage data and help enterprise clients better harness it.

Continuous Intelligence: It is a system that integrates real-time analytics with business operations and recommends actions based on both historical and real-time data. It processes historical and current data to provide decision-making automation or decision-making support. Gartner predicts over 50% of the new business systems will be using continuous intelligence by 2022. Industries could use continuous intelligence to monitor and optimize scheduling decisions and also provide more effective customer support.

Cleaner Data: One of the most significant issues right now for big data is the clutter and incorrect data. Due to the poor quality of data, companies had to face the problem of slower data retrieval processes, resulting in a massive loss of money. While ‘scrubbing’ through processed data is gaining relevance globally, it also costs huge time for data scientists. Hence, the coming years may witness automation of cleansing of data through the use of AI and machine learning. Natural Language Processing: Though NLP was initially popularized as a subset of Artificial Intelligence, it quickly evolved into expanding regular activities and business processes. From studying data to finding patterns and more. 2021 will see the Natural Language Processing for instantaneous information retrieval from big data repositories. Not only NLP will help access to quality information; it can also prompt the system to give them the business-related insights that will be needed to move forward. NLP further gives businesses access to sentiment analysis. It will allow them to know how their customers feel about their brands at a much deeper level.

Katie Horvath President & CEO Providing Cloud Native Data Integration Platform for Effective Decision-Making

Naveego© is a leading provider of cloud native data integration platforms with built-in data quality, data accuracy and governance. The Naveego® Complete Data Accuracy Platform uses API connectors to connect to new data sources in minutes and match and merge data into a golden record in hours to produce an analyticsready stream of trusted and accurate data for dashboards, reporting and analytics applications. The self-service no-code platform allows non-technical business users and data stewards to actively manage their data. It seamlessly connects to each source whether in the cloud or on-premise and scales effortlessly to automate the building of trusted data pipelines.

The Determined Leaders Naveego’s founder Derek Smith continues to lead the technical vision for Naveego as CTO. Katie Horvath, the company’s President & CEO, is believed to be the only woman CEO in Big Data in at least North America. Naveego is one of the only Big Data companies headquartered in Michigan. Katie serves on the Michigan Economic Development Corporation AI Advisory Board and often is an invited speaker as an industry thought leader, such as recently participating in the keynote for Oracle Cloud Day.

Data Management with Cloud Solution Derek firsthand as a services provider saw the pain of fragmented data across an organization. He believes that the modern way with which most companies operate includes the adoption of best-of-breed software applications by different functional business units (Sales teams have a preferred CRM, marketing teams have preferred digital marketing platforms, accounting teams have preferred billing solutions, and so on…). This creates separate data silos, which in turn leads to a lack of consistency of data across an organization. If one asks the same question of different departments using different data sources, one will likely to get different answers, even for simple questions like “what is a customer’s address” or “what is a customer’s purchase history.” Poor data quality typically costs a company millions of dollars each year in operational time trying to figure out which data is correct, as well as lost opportunities for revenue growth and cost reduction.

AI/ML produce insights rapidly but must begin with a foundation of accurate data for training sets and analysis, or else the results are meaningless. Having data feeding analytics in real-time is game-

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Legacy master data management solutions historically used to bring together disparate data sources typically were only accessible to enterprises with large budgets for infrastructure changes and were built for on-premises data management by highly skilled FTEs needed to use and maintain these solutions. Derek knew that there was a better way to manage data, including not just the IT department, but the non-technical data stewards in the business who were better positioned to recognize errors in the content of the data, but who had no knowledge of database structure or writing computer code. Accordingly, Derek set out to create a nimble data management solution accessible to mid-market through enterprise organizations and founded Naveego in 2014 with a cloud-native master data management solution for the oil & gas industry. In 2018, Katie joined Naveego as CEO and led the company through a redesign of the product to create Naveego’s Complete Data Accuracy platform to move into Big Data and expand and diversify into new markets including financial services, insurance, healthcare, manufacturing, and logistics. While legacy MDM projects often took months and years for results, Naveego connected a new data source in minutes and produced golden records of accurate mastered data in hours. In 2020, the company launched a no-code self-service data integration platform, built upon its data accuracy technologies, to bring data silos together and produce golden records of immediately useable and governed analytics-ready data.

changing for the speed of analytics – no longer are the analytics-based upon snapshots of data from a moment in time that is already outdated when the analytical results are in.

Derek Smith, CTO

Managing Customer Data with Cloud Services Naveego set itself apart with one of the industry’s first and distinctive services which includes: » One of only two cloud-native data management solutions on the market. (This differs from legacy onpremises solutions and solutions managing cloud-based data sources.)

Naveego’s philosophy is that the company manages customer data where it sits. This means that Naveego is technology agnostic, support multiple clouds and on-premises environments and do not require infrastructure change or cloud vendor lock-in to use the company’s technology.

Naveego® is unique because it has built self-service for

the non-technical business user with no coding or IT support required. As a data integration platform, Naveego is different because it has built-in data accuracy (MDM, DQ technologies) and data governance (lineage and audit trail of changes made to data). The company not only brings the data together – but also makes it accurate, trusted and useable. Its key partnerships include Oracle Cloud (Naveego is an Oracle Cloud Marketplace solution for integrating and providing immediately useable data to Oracle’s Autonomous Data Warehouse); Mondelio (partner in Australia through which Naveego entered the APAC market in 2018); Stonebridge Consulting (partnered for oil & gas industry product EnerHub); Cloudera; Sisense; Snowflake (Naveego

makes data lakes usable by managing the data therein); Aunalytics (Naveego® to be used for integration layer of DaybreakTM and Aunsight® products).

Transforming Disparate Data Sources into Accurate Analytics Naveego states that using the industry phrase “master data management” often invoked past horror stories of legacy MDM technologies not working and being cost-prohibitive. The company found it challenging to convey how it had flipped data management up-side-down with its cloud-first approach because people stopped listening, the moment they heard the word “MDM” due to bad past experiences with other products. Similarly, in describing Naveego’s product, “data quality” was limiting because it traditionally means correcting issues with the form and format of data, and not the content. So, the company rebranded itself and created its lane in “data accuracy,” which encompasses consistency, data quality, cataloguing, correcting errors in data content, matching and merging into golden records, and data governance. Naveego transforms disparate data sources into golden records of accurate analytics-ready business information and corrects data errors at their root with bidirectional sync to source systems. Data Integration for Efficient Analytics Innovation Cloud technologies enable the post-COVID-19 to work from home environment. The company says that without the cloud, people would not be able to access the company data to a remote workforce. COVID-19 has accelerated adoption of cloud technologies and innovation therein. Automation, such as Naveego’s data integration and wrangling technology, enables highly paid and skilled data scientists and analysts to focus on analytics instead of data clean up. It provides efficiencies to free up time and resources for analytics innovation. Derek said, “AI/ML produce insights rapidly but must begin with a foundation of accurate data for training sets and analysis, or else the results are meaningless. Having data feeding analytics in real-time is game-changing for the speed of analytics – no longer are the analytics-based upon snapshots of data from a moment in time that is already outdated when the analytical results are in.”

Remarkable Awards and Recognition Naveego has been recognized by leading research and media publication for driving excellence in big data and analytics industry. Some of the notable ones include: 2018 CRN Top 10 New Data Management Tools 2018 Solutions Review Top 5 Emerging Data Management Tools that Most Matter 2018 Gartner Emerging Technology mention at the annual conference 2019 CRN Big Data 100 Data Management and Integration 2019 CIO Review Top 10 Data Management Solutions Feature by Forbes in July 2020 Recent sales win with a large multinational insurance company over close competitor Reltio, credited to it solution which does not require customers to build and maintain, “glue code” to use the platform. Moreover, Naveego’s no code technology is ready to use out of the box without requiring customization.

The Future Ahead Derek believes that data lakes are rapidly being adopted as a solution for siloed data. But, data accuracy problems are not being solved – they are just being moved from separate data sources into the lake. He adds that many companies are trying to use data lakes as data warehouses, but data lakes lack data management for creating immediately usable data. Naveego works within data lakes to create consistent and usable data, and this use case will only continue to grow. Further, mid-market companies that do not have the budget

or bandwidth for a data science department want to use data analytics for growing revenue and cutting costs. This will continue to increase demand for self-service solutions like Naveego® that empower non-technical business users to master analytics, automate data integration and provide trust in company data for mission-critical decision-making.