Data is now the soul of every organization. Placing data at the center of your business strategy gives you a competitive advantage in today’s digital age. According to Gartner, D&A is shifting to become a core business function, rather than it being a secondary activity done by IT to support business outcomes. Business leaders now think of D&A as a key business capability to drive business results.

You must now concentrate your digital transformation efforts on adopting new data-driven technologies and processes for more valuable insights from data so that you can use them to address future needs.

The Need for a Robust Data Architecture

Data management architecture defines the way organizations gather, store, protect, organize, integrate, and utilize data. A robust data management architecture defines every element of data and makes data available easily with the right governance and speed. A bad data management architecture, on the other hand, results in inconsistent datasets, incompatible data silos, and data quality issues, rendering data useless or limiting an organization’s ability to perform data analytics, data warehousing (DW), and business intelligence (BI) activities at scale, particularly with Big Data.

The Journey and the Challenges You Will Likely Encounter

Most organizations start their journey with a centralized data team and a monolithic data management architecture like a data lake, in which all data activities are performed from and to a single, centralized data platform. While a monolithic data architecture is simple to set up and can manage small-scale data analytics and storage without sacrificing speed, it quickly becomes overwhelming. Furthermore, as data volume and demand grow, the central data management team becomes a bottleneck. Consequently, there is a longer delay to insight and a loss of opportunity.

To enhance and improve your capability to extract value out of data, you should embrace a new approach, like data mesh, for handling data at scale. Although previous technical advances addressed data volume, data processing and storages, they could not handle scale in additional dimensions such as the increase of data sources, changes in the data landscape, speed of reaction to change, and variety of data consumers and use cases. These aspects are addressed by a data mesh architecture, which promotes a novel logical perspective of organizational structures and technological design.

What is Data Mesh?

To harness the real potential of data, Data Mesh uses current software engineering techniques and lessons learned from developing resilient, internet-scale applications. As described by Zhamak Dehghani, Data mesh is a decentralized socio-technical approach to managing analytical data at scale. It is a method to reconcile and hopefully solve issues that have troubled initial data designs, which are often hampered by data standards issues between data consumers and producers. The data mesh pushes us toward domain-driven architecture and empowered, agile, and smaller multi-function teams. It combines the most acceptable data management methods while maintaining a data-as-a-product perspective, self-service user access, domain knowledge, and governance.

Some principles must be followed to achieve an effective data mesh. These principles demand maturity of the organization’s culture and data management.

  1. Domain-oriented data ownership and architecture: As domain ownership has changed in modern digital organizations, where product teams are aligned with the business domain. A data mesh approach empowers product teams to own, govern, and share the data they generate in a regulated and consistent manner. This method combines data understanding with data delivery to accelerate value delivery.
  2. Data as a product: Rather than considering data as an asset to be accumulated by establishing responsibility with the data product owner, a shift to product thinking for data allows higher data quality. Data products should be coherent and self-contained.
  3. Self-serve data infrastructure: The goal of building a self-serve infrastructure is to give tools and user-friendly interfaces so that developers can create analytical data products faster and better. This method assures compliance and security while also reducing the time it takes to gain insights from data.
  4. Federated computational governance: Traditional data platforms are prone to centralized data governance by default. A federated computational governance architecture is required for data mesh, which preserves global controls while improving local flexibility. The platform manages semantic standards, security policies, and compliance from a central location, while the responsibility for compliance is delegated to data product owners.

Benefits of Adopting a Data Mesh Design

Organizations benefit from adopting an effective data mesh design for several reasons, including:

  1. Decentralized data operations and self-serve infrastructure enable teams to be more flexible and operate independently, improving time-to-market and lowering IT backlog
  2. Global data governance rules encourage teams to generate and distribute high-quality data in a standardized, easy-to-access manner
  3. Data mesh empowers domain experts and product owners to manage data while also encouraging greater collaboration between business and IT teams
  4. Data mesh’s self-serve data architecture takes care of complexity like identity administration, data storage, and monitoring, allowing teams to concentrate on providing data more quickly

At the same time, data-driven improvements like these may help cut operational expenses, drastically reduce lead times, and allow business domains to prioritize and make timely choices that are relevant to them. Also, it makes data accessible across the business while also allowing for technical flexibility.

Is Data Mesh Right For You?

It is essential to keep in mind that a data mesh is one of many data architecture approaches. One must first determine, if your objective and goals are compatible with this new paradigm or whether a different one would be more appropriate for your organization. Ask yourself these quick questions:

  • What is the level of collaboration between your data engineers, data owners, and data consumers?
  • Is it difficult for these parties to communicate with one another?
  • Is your data engineers’ lack of business domain expertise a major productivity bottleneck?
  • Do your data users have productivity challenges as a result of this?
  • Are you dealing with unavoidable domain-specific business variations in data across business units?

If you responded yes to these questions, particularly the last one, a data mesh may be a good match for your needs. If that is the case, you should begin by gaining executive backing, establishing a budget, identifying domains, and assembling your data mesh team.

Are you still wondering whether or not data mesh is the right choice for you?

Our data specialists can assist you in defining your data strategy, reach out to our data architecture experts.

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Infocepts is proud to be named a Customers’ Choice for Data Analytics Service Providers in Gartner Peer Insights ‘Voice of the Customer’: Data and Analytics Service. Gartner Peer Insights Customers’ Choice distinctions recognize vendors and products that are highly rated by their customers. We are honored to be recognized in the report for two years in a row. We believe this achievement is based on the level of customer satisfaction and business outcomes we provide and are grateful for our customers’ valuable feedbacks. It speaks to the holistic view we’ve taken of data and analytics, guided by our centers of excellence and reusable solutions. Working with Infocepts you know you have a trusted partner to solve your complex D&A problems.

We see the report shows a 100% customer willingness to recommend Infocepts (As of May 2021, 28 reviewers, Gartner Peer Insights ‘Voice of the Customer’: Data and Analytics Service Providers).

Key Factors That Contributed to This Recognition

Infocepts simplifies your complex data and analytics problems through a framework that leverages people, process, and technology to drive business outcomes. Through a solution-oriented approach, we guide and support the modernization efforts of our customers, enabling them to become truly ‘data-driven’.

Customers in Gartner Peer Insights rated our over rating as a 4.8 out of 5 (based on 13 reviewers, as of 30 June 2020).

I believe this is a clear indicator that this holistic view of D&A aligns with successful business outcomes, that customers expect in their projects.

At Infocepts, we’re on a mission to help organizations become data-driven and stay modern. The rapid evolution of data & analytics is creating new opportunities, while presenting new challenges. You need a partner having a proven ability to complement your team with relevant cross-functional expertise and global experience in cloud, data, and analytics. Our customers have spoken and Infocepts is the solution of choice.

Here are some excerpts from customers that contributed to the distinction:

A Tech lead said, “Infocepts takes ownership and gets the job done! The associates I work with on a daily basis show tremendous professionalism and dedication. I feel like they are a partner to me. They strive for continuous improvement, and a specific example of is the automation of repetitive manual tasks using RPA technology to reduce cost and increase productivity. Infocepts resources are focused on individual and team commitments and show dedication to great products and services.” (As of March 15, 2021).

A Data and Analytics Manager in the Media industry said, “There is a tightly integrated team right from from the leadership to the developer resulting in collaboration & synergies across Data & Analytics Initiative. They are open and communicate timelines and what is possible and what not in a very honest manner rather than providing false narratives. They keep you informed throughout and provide multiple alternatives when faced with issues for resolution.”

The manager wrote that, “Try Infocepts out with a small project and see how they are different from other vendors. I have worked with many vendors in my 19 years of my experience & they are the best of lot for D& A initiatives. They are a company to watch out for.” (As of May 3, 2021).

A senior tech lead in energy and utilities industry said, “Overall experience of working with Infocepts has been positive. They always seem to have a pool of skilled resources with a high degree of professionalism. They bring in great ideas and use best practices and produce deliverables of high quality. All of them I worked with, are/were skilled, helpful, friendly and resourceful and great team players. We engaged with them to ingest, cleanse, churn data from various sources and host them for our Data Transformation, Analytics, gaining Insights and for Reporting needs within our organization. “ (As of June 21, 2021).

Interested in what customers are saying about Infocepts? Visit the Gartner Peer Insights page for Infocepts.

With the explosion in user-generated data, businesses need to deliver the right data at the right time to remain relevant. Making Data and Analytics (D&A) industry one of the most sought-after career paths.

Today, companies who wish to deliver transformation for their organizations are dependent on the next wave of bright minds! As a D&A expert, you have the opportunity to not only learn new skills in analytics & data management, cloud & platform engineering, service management, and business consulting, but you will help shape the future.

We’ve teamed up with industry leaders in the D&A space to bring you a panel that can share their personal data journey as well as tips for career advancement. In this webinar you will learn:

  • Why the data & analytics is so hot
  • What skills can you use to excel in your career
  • How to network within the industry
  • How to pick the best partner to grow your career

So, do you have what it takes to join an industry-leading data & analytics solution company?

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We’re a curious and dedicated team ready to tackle any data-driven problem. We are energized by the growing opportunities ahead. At Infocepts, you’ll be challenged to think innovatively, while growing your own personal and professional skillsets designed with the future in mind.

Together, we can build something great. Join our team today!

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