Partnering with expert data lake companies can prevent unwanted expenses and increase ROI for a business. Here, we’ll discuss the top ways data lake consulting can save a business from costly overhauls.
In this data-driven world, businesses should have proper data storage and management systems to handle the large amounts of data they collect and generate to use for analytics. Using data to derive actionable insights is now an integral part of most industries. However, managing such huge datasets comes with its share of challenges. That’s why organizations are actively investing in data lakes and enterprise data management solutions.
According to Research and Markets, the global data lake market is expected to be $26.57 billion in 2025 and projected to grow at a CAGR (compound annual growth rate) of 21.5% to reach $57.81 billion by 2029. Another report says that 85% of the businesses are already leveraging data lakes to streamline their AI adoption and implementation process, while 11% of them are planning to use data lakes soon.
However, a bigger question remains. Do you rely on internal teams for data lake management, or do you hire data Lake consulting services from experts? How does partnering with a consulting provider differ from using in-house talent? How can data lake consulting reduce expenses and offer cost-effective solutions for your business?
Let’s find out in this blog.
Risks of Poor Data Lake Architecture Management
Enterprise data management is the process of managing the business data to unlock its full potential and convert data into a business asset. It is a series of activities and requires various technologies to seamlessly work together to deliver the desired outcomes. Data lakes, data pipelines, data analytics, and business intelligence tools are some important parts of this process. However, not every data management solution is successful. Many times, organizations end up spending millions on a system that doesn’t give the expected results.
This can be due to the following reasons:
Lack of Strategy
What is your data strategy? Why do you want to collect and store data? How do you plan to use it? What are the external sources for data collection? Which tools and technologies will you use? Should the data lake be on-premises or on the cloud? If you don’t have clear and definite answers to these questions, you are not yet ready to build an extensive data architecture. Consult with a data engineering company and take their advice in creating a strategic blueprint for data management.
Ignoring Security
Your data systems and storage centers contain highly confidential and sensitive data. There have to be proper security measures to prevent cyberattacks, hacking threats, and unauthorized access. Ignoring the need for data security can be fatal for your business. It’s not just about loss of data, but also leads to financial loss, reputation damage, and lawsuits or legal penalties. The data lake cannot be left vulnerable under any circumstances.
Expensive Cloud Storage
Though cloud storage is less expensive than on-premises data lakes, it can still be costly if you don’t optimize the storage space and use it wisely. Quite a few businesses store duplicate systems, outdated data, and unwanted files on the cloud, thereby spending a lot of money on nothing that directly contributes to their day-to-day work. These costs can quickly turn into a major expense and become a burden. A data lake company helps reduce such expenses by building a robust and optimized data architecture that aligns with your requirements.
Unstructured Data
Just because a data lake can store raw data in various forms, it doesn’t mean the storage space can be disorganized and unstructured. You should still optimize it by structuring the datasets, labelling them, using metadata and appropriate tags, etc. This is done by data lake consulting providers who have the necessary expertise to streamline the datasets as well as the various third-party connections to automate data flow throughout the enterprise.
Talent Gap
Talent gap refers to the discrepancy between the skills and expertise your business requires and the skills and expertise available in-house. If you are new to the digital transformation journey, it is expected to notice a wide gap between expected and existing talent. Hiring a data lake consulting partner helps in bridging this gap quickly without spending a lot of money on recruitment and employee training. The experts from the consulting company offer end-to-end services to make your data lake project a success.
Top Ways Data Lake Consulting Saves Your Business From a Costly Overhaul
Expertise and Efficiency
The primary difference between working on your own and hiring a data lake consulting company is the extent of expertise in the domain. Consulting providers have more expertise, skills, and knowledge as they offer the services to various clients. They become efficient due to the numerous projects they work on for clients from different industries. This builds a vast portfolio that makes them capable of handling complex data lake demands with ease.
Access to Technology
To build the data infrastructure for data lakes, you will require advanced technologies and solutions. You have to choose the best tools and apps from the many options in the market. Your team should know how to effectively use these to set up the data pipelines, storage centers, and other connections. Data lake consulting not only gives your business easy access to the latest technologies but also does so using cost reduction strategies.
Strategic Implementation
Building a data lake and maintaining it is not a random project. You should have a clear idea of the objectives, challenges, budget, etc., to ensure the data lake is useful for the business. Consulting companies understand your business requirements and long-term goals. Then, create a strategy for data lake implementation only after considering various factors that affect its performance. Then, they assign expert professionals to implement the idea and successfully build a data lake in your organization, be it on the cloud or on-premises.
Flexibility
Data lakes have become popular due to their ability to store and process data in several formats. Raw data in different formats (text, images, audio, video, etc.) can be stored in a data lake. It can be cleaned and processed to be used for real-time analytics in departments across the enterprise. Businesses can benefit from using diverse datasets to derive actionable insights and make data-driven decisions.
Scalability
Data lake services are not limited to the short term. A data lake is a vast central repository that can store massive amounts of data. However, it has to be built to support scalability to ensure the storage space can be expanded whenever necessary. Consultants create data lake systems that can be scaled quickly to support a growing business. They also ensure to minimize downtime or delays that can affect business transactions.
Accountability
Reputed data lake consulting companies support businesses to build and implement enterprise data management solutions that align with the mission, vision, and objectives. The consultants take responsibility for creating a working and dependable system with the necessary integrations. They are accountable for the services they provide and offer priority support to troubleshoot glitches. Aspects like adherence to industry standards and legal regulations are also their responsibility.
Data Security
Storing large datasets without adequate security measures can be dangerous for a business. A single cyberattack could compromise confidential data and cause losses and lawsuits. Data lake consulting services include data security measures to prevent such threats from affecting your business. Multiple security layers, AI-powered antivirus and antimalware software, security patches, anti-phishing solutions, etc., are a must. For on-premises data lakes, you will also have to invest in physical surveillance equipment, like CCTV cameras for 24*7*365 monitoring.
Regulatory Compliance
Data privacy is an equally important concern, and violating the regulations can lead to fines and legal complications. When you partner with a data warehousing company, you rely on them to build a data lake that adheres to the data governance requirements and builds a framework to ensure regulatory compliance. Typically, a business has to comply with the data privacy laws like GDPR, CCPA, DPDP, HIPAA, etc.
Customization and Optimization
A data lake and its connections have to be set up to suit the business requirements. This means customization of various components and integrations to create a seamless data flow from one part to another. It has to be a unified system where employees can easily access the data, send queries, get real-time insights and reports, etc. Data lake optimization is necessary to ensure the storage space is effectively used and the business doesn’t incur unwanted expenses.
Maintenance and Support
Data lakes are a part of the data analysis framework that helps organizations make data-driven decisions. By partnering with data lake consultants, you can use their expertise to monitor the systems and run periodic maintenance sessions to prevent glitches and downtime. Data lake consulting companies also provide support services for upgrading, migrating, and scaling the data lake systems as and when required, that too for cost-effective prices.
Conclusion
Data lake services can be hired separately or as part of the large data engineering solutions to streamline your systems and business data for greater efficiency. Hire a reputed and experienced data engineering consulting company to provide customized end-to-end services to set up a scalable and efficient data infrastructure in your business.
Make the most of advanced technologies and cloud solutions to boost your business performance and revenue.
More in Data Lake Services Providers
Data lake consulting provides tailored end-to-end services to set up the data infrastructure in the enterprise, optimize the storage space to enable scalable, flexible, and future-proofed solutions. With an advanced data lake architecture, a business can derive real-time insights to make data-driven decisions and grab market opportunities before competitors. Partnering with a reliable data lake consulting company can increase your ROI.
Check out the following link to learn more about data lakes and data engineering solutions.
- Choosing the Best Data Lake Companies in 2025 – Our Top 5 Picks
- Data Lake vs Data Warehouse: Which is best for you?
FAQs
How do I know if my current data lake setup is at risk of failing or overspending?
An easy way to know if your current data lake setup is failing is by noticing the following symptoms:
- Slow performance
- Poor data quality
- Inaccurate/ unreliable reports
- Excessive costs
- No data governance
Can expert data lake consulting help me avoid re-platforming or rebuild costs?
Yes, expert data lake consulting can help avoid rebuilding and re-platforming costs. The experts will identify the issues in your data architecture and find the best way to rectify them and make the system work. They also provide scalable and long-term support services.
What early warning signs suggest my data lake needs strategic intervention?
The early warning signs that indicate a need for data lake strategic intervention are as follows:
- Difficulty in finding data
- Data chaos and mismatch
- Old or outdated data
- Lack of data governance
- Not using data to its true potential
How can consulting improve the scalability and governance of my data lake?
Data lake consulting improves the scalability and governance of data lakes by strategically implementing the required technologies, creating a proper data architecture design, setting up seamless data integrations, adding security layers, and developing robust data governance frameworks. The data engineering companies also provide maintenance and support services.
Is it better to optimize my existing data lake or migrate to a new architecture in 2025?
Generally speaking, data lake optimization of an existing solution is a better option. However, migration might be more effective if the data lake is very old and suffers from too many bottlenecks or challenges. Optimization is less expensive and more effective in most instances, though the actual decision depends on how your existing systems work and what you want to achieve.
What ROI can I expect from investing in data lake consulting services?
Data lake consulting can result in significant ROI for your business as it streamlines and automates data flow, reduces the cost of building and maintaining the data infrastructure, and promotes data-driven decision-making to reduce the risk of uncertainties. The actual ROI is case-sensitive and varies from one business to another.
Fact checked by –
Akansha Rani ~ Content Creator & Copy Writer
