Enterprises worldwide are busy in the rat race of modernizing their businesses digitally. While the first out of the gate will certainly have an edge over the laggards, the implementation and execution of digital initiatives pose quite a few technical challenges. The breakneck speed of technological advances mandates quicker strategic decisions, and turnaround of things. In today’s cloud-native world, the availability of tools across computes, storage, analytics, networking, databases, IoT, endpoint security, and enterprise applications seems to be spiraling out of control. This explosion of choice is making the technology landscape complex than ever before. This complexity makes the ideation, development, and testing of digital solutions difficult. The decisions related to technology adoption entail huge investments and are likely to affect all the levels in the organizational hierarchy. Furthermore, there is always a danger and a risk of going wrong in these decisions.
Small, mid-sized or large, businesses of all sizes are facing the challenges caused by technology complexities. While the smaller companies lack the experience, infrastructure, and funding required for swift technological progress, they have a lesser mess to deal with as compared to large organizations. The latter are dealing with a huge employee base, a plethora of business processes and operations, larger skills gaps, and in many traditional non-tech settings, aversion to digital change.
While the challenges are many, let us dwell on four pressing technological complexities for businesses and their possible logical solutions.
Businesses store and maintain an enormous number of sensitive records in the form of intellectual property data, information related to customers, competitors, market trends and patterns, historical stats and facts, and financial documents. Preventing unauthorized access to such huge complex, and diverse data in an increasingly interconnected environment makes it a challenge for enterprises. Massive data breaches and high-profile ransomware attacks have become a common threat. Malicious actors are one step ahead of security experts. They are using leave-no-trace malware to infect the company systems and yet remain undetected for months together. A compromised company system results in the shutdown of critical infrastructure and business operations, financial loss, lawsuits, and huge ransoms paid to attackers. In many cases, it causes irreparable damage to the brand image of a business.
Moreover, considering the exponential growth of interconnected IoT devices, the challenges in the security and maintenance of the IoT devices in a company infrastructure are important and must not be overlooked. Hackers and cyber-attackers need a single device with an unchanged default password or unpatched software to penetrate your ‘secure’ network. We still do not have the strictest government regulations to ensure IoT security.
So, how do you tackle this? Establishing an information security program to anticipate and mitigate the security risks for your business must be your top priority. All the layers of the organizational hierarchy should be aware of the security practices to be followed in order to prevent compromises. General awareness about the security requirements for IoT devices is required among both enterprise users and home users. Enterprises must ensure password protection, continuous monitoring, and periodic security updates and upgrades of the IoT devices.
Not every business can afford the cost of hiring specialized cyber security experts. Outsourcing cyber security services make more sense to most enterprises as you can leverage expertise without having to hire full-time specialists.
Whether you want to or not, you have to move to the cloud today even for mere survival. Because your customers want it that way. Because your competitors are doing it that way. Private cloud, public cloud, hybrid cloud, and multi-cloud are pervasive across enterprises. SaaS, PaaS, and IaaS are the buzzwords. While the cloud has taken the digital technology to new heights, many businesses are failing in their cloud strategies mainly due to the lack of understanding of the complexities of cloud computing, lack of clear vision and business objectives for migrating to the cloud, and the deficit of skilled IT professionals who understand the cloud technology.
With the growing popularity of cloud computing and the open-source software movement, developers today have numerous tools options to build and run scalable, durable, and updatable applications. But this explosion of choice is also making developers’ life miserable. The switch from monolith to modular seems to have made the application development too fragmented. How to master this hyper-complexity of corporate IT environment is the real challenge.
The best way is to keep things simple. Have enough brainstorming on which cloud provider or their combination would best suit your requirements. Criteria that might help you in decision-making can be availability, security, performance, scalability, and cost. Instead of going for large-scale sudden migration changes, opt for incremental cloud implementation, at least to start with. Have a clear idea about what stays on-prem and what goes on the cloud. Understand and audit your current cloud infrastructure usage and plan based on your audit data.
Managed services, opinionated services, frameworks, libraries, and platforms are some feasible solutions to overcome several cloud complexities.
This is the age of digital platforms, where enterprises can leverage technology expertise from partner systems and vendors. Switching to digital platforms offering the tools and technologies required for digital product development is a great option. You can pay only for the tools you use, pay as you scale. Maintenance of these tools is not your headache. You can focus on the development of your digital solutions and accelerate your growth journey.
Data is the new oil that fuels the growth engine of an enterprise. Companies making business decisions based on Big Data and analytics certainly have an edge over the competitors who are still stuck in guesswork. However, data management is no child’s play. As of 2021, a whopping 2.5 quintillion bytes of data is created every day, and that number is growing exponentially. Collecting, processing, analyzing, and utilizing such humongous data coming in from disparate sources has its own challenges. Enterprises are struggling with duplication, inaccuracies, incompleteness, and inconsistencies in data. Data privacy and data governance are the top priorities for enterprises of all kinds and sizes. Businesses have already started facing a deficit of skilled Big Data professionals. The world needs a robust data platform without-of-the box AI/ML tools for creating data models and MLOps to push those models into production.
Challenges in portfolio management
Managing product portfolios in the fast-paced business world becomes challenging. Breaking down the silos and aligning all the teams working on different business areas towards the common goals and objectives of an enterprise is essential for successful product portfolio management. You can’t manage what you can’t see. Poor visibility into business and portfolio data slows down your time to market and your growth journey. You can’t rely on makeshift systems and manually consolidated spreadsheets for making sense and taking decisions. Portfolio managers today need a consolidated view of all the projects in the pipeline, their current statuses, the data about the maturity levels of products and business processes, the resource allocation, and the optimal utilization of available funds and resources.
The technology landscape is ever-changing; so are the challenges and complexities. Managing all the complexities internally within the enterprise may not be a wise option anymore. Now you have specialized managed service providers offering the required tools, technologies, platforms, and expertise to handle technology complexities for you. Wasting valuable time and resources in trying to deal with technology challenges on your own will directly translate into lower productivity and derail your growth journey.
Introducing Calibo’s Lazsa
Calibo’s Lazsa Integrated Product Platform-as-a-Service (pPaaS) has emerged as a robust solution to all the pressing challenges posed by the scale, complexities, and fragmented way of creating digital products and driving initiatives. Lazsa is a state-of-the art platform that accelerates various stages of your product development lifecycle from ideation through commercialization. It truly unites the enterprise by bringing business and technology teams together to define, design, develop and deliver cutting-edge digital solutions and products, and give you a competitive advantage and business results.
Let’s quickly understand how Lazsa helps you overcome the complex challenges that we discussed in the first half
of this article:
In Lazsa, you can create business portfolios, define business strategies and outcomes, and seamlessly manage product hierarchy. You can quickly track and monitor the status of products by portfolio and integrate with external systems for a consolidated view of business and portfolio data. Actionable and insightful dashboards help you manage your products, resources, and financial metrics optimally.
Product and release management
Creating release calendars, agile release train, and workstreams is as easy as A-B-C in Lazsa. Lazsa empowers your release managers to manage multiple releases within a product with defined exit criteria, manage release dependencies to track overall release progress, review product development value stream, and gain uniform visibility through release dashboards.
Executive insights and governance
Executives can govern and monitor the portfolio performance, productivity, and financial performance through executive dashboards
Product development platform
Lazsa provides out-of-the-box support for all the industry-leading tech stacks and tools. Configuration of deployment stages, machines, and code repos and containerization of applications are managed by Lazsa. So, you can plan, code, test, and deploy your digital solutions through Lazsa seamlessly without facing any technical challenges.
Data and analytics platform
In Lazsa’s Data Intelligence Studio, you can create data pipelines in a few clicks and gain complete data pipeline visibility with monitoring, auditing, and alerts. By leveraging Lazsa’s out-of-the-box data integration templates, data crawlers, and data catalogs, you can transform raw data into valuable actionable information. Using Lazsa’s data lineage capabilities, you can monitor and analyze the state of data changes.
Lazsa has infused security into the entire CI/CD lifecycle from code, commit, test, deploy to monitoring the pipeline, application, and infrastructure. Lazsa DevSecOps Platform provides visibility across the product development lifecycle including CI/CD pipeline and raises alerts about risks and inefficiencies. This ensures that the DevOps, Security and Operations teams focus on delivering value rapidly, rather than putting in repetitive, manual, error-prone efforts.
To know more about Lazsa and to book your free demo, talk to email@example.com.