Service Overview
Data is now at the heart of every successful organization, with data experts playing a critical role in strategic choices. As a leader in data analytics consulting services, TekLink provides data analytics solutions that enable the complete data science lifecycle, from preparing and exploring data to building, deploying, managing, and monitoring models, using the latest breakthroughs in AI, Machine Learning, and Automation.
Success Stories
Service Offerings
What are the benefits of using data to optimize business decisions? TekLink helps optimize business decisions using our unmatched Data Science Implementation and Support Services that enable predictive analytics capabilities for businesses to help make better decisions and achieve outstanding results.
From delivering Data Science Implementation and Support Services to data-powered enterprises to developing innovative product strategies and experiences, TekLink’s advisory teams of AI and data specialists leverage their expertise to generate significant change and measurable impact for businesses and society at large.
Predictive analytics and modeling are now more accessible than ever before because of the remarkable convergence of intuitive tools, innovative predictive algorithms, and hybrid cloud deployment methods. As a data analytics consulting service, TekLink can enable businesses of all sizes to integrate predictive analytics into their operations and use AI on a large scale. Companies can also extract relevant insights from varied data sets created in real-time.
TekLink’s Big Data Engineers are responsible for gathering and analyzing large data sets to give data scientists the appropriate data sets and visualization tools for analysis. TekLink recognizes the complexities of data and can handle a wide range of data types (structured, semi-structured, and unstructured), volume, velocity (including stream processing), and veracity. TekLink also addresses the concern for information governance and security, through Data Science Consulting.
TekLink has a one-of-a-kind strategy to utilize AI technologies with data, analytics, and automation, as part of a strategic goal to grow AI and revolutionize business across all functions and processes. TekLink, through strategic Data Implementation Services, helps clients break down company silos, build more agile and adaptive strategies, and empower better decision-making with machine learning, data mining, and decision trees to seize completely new opportunities.
Solutions and Starter Kits
To assist businesses in starting their Machine Learning journey, TekLink offers a 5-week POC strategy. TekLink will collaborate with IT/Data teams to identify the business challenge, evaluate the datasets, construct a preliminary model, and implement the solution as part of this partnership program. While businesses recognize the benefits of Machine Learning solutions, TekLink demonstrates its capability as a trusted AI/ML Partner.
TekLink assists many enterprises in accelerating their transformation journeys and maximizing the value of high-performing Cloud environments, whether public, private, or hybrid. With TekLink's 5-week starter plan on the cloud platform for analytics, businesses can create a data foundation for Analytics on the Cloud Platform by integrating data from various systems. TekLink has the experience with all the major cloud providers, including Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and SAP.
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Frequently Asked Questions
If you are wondering about this, here is what you should consider – your company might have already adopted some degree of data science services in the form of data collecting and storage solutions. However, if you wish to go beyond these steps, you will realize the importance of making data-driven decisions.
- Your company would need Data Science services if:
- You have ever-increasing volumes of data but with no real information
- Spreadsheets have become sluggish due to enormous data with a high update frequency
- You have to combine data from multiple sources
Companies collect personal data like contact information, social security numbers, browser cookies, IP addresses, transactional information, purchase histories, purchase criteria, interactions with online ads, and more for advanced analytics.
- They collect this information through:
- Surveys
- Tracking
- Forms
- Social Media Monitoring
- Observation
Here are some things that companies can expect when they adopt data science:
- Initial resistance to new technology among employees
- Faster business decisions based on accurate analytics
- Increased business security due to Predictive Analytics
- Reduction of overall operational costs
You need your people, processes, and technologies to go in the right direction for a sustained time to truly connect data science with your business processes. That calls for more than just securing the C-support suites and spending money on contemporary data technologies.
Faster internet speeds and information transfer capabilities, not to mention the enormous amount of data generated by the IoT, are driving the free flow of information through businesses on a massive scale. Millions of bytes of data are produced by the network of sensors, devices, networks, and devices, all of which contain critical information. Businesses, therefore, need to employ business intelligence analysts to derive value from this information.
Data science can be easily applied to a variety of business issues because some applications don’t even need any programming or technical know-how. However, if properly applied, the same fundamental approaches might be used in larger systems on a far larger scale. To guarantee that projects are successful, you must carefully prepare how you will include databases, business logic, algorithms, and new regulations.
Companies need data science to identify opportunities for improved business performance. Data Science assists businesses in monitoring, managing, and collecting performance metrics to improve decision-making throughout the organization.
Data science is an umbrella term for a variety of fields that use large datasets to mine information. Data analytics software is a more focused version of this and can even be considered a component of the overall process. Analytics is dedicated to generating actionable insights that can be applied right away based on existing queries.