Power your business intelligence and advanced analytics projects with a data storage solution that consolidates disparate data islands. Take control of enterprise data ecosystems by integrating data to create a single version of the truth, cleaning & standardizing data to improve accuracy, and operationalizing ML/AI to speed up the process. Our data warehousing service breaks down data silos for richer and more accurate insights—helping users across the organization drive business outcomes and success.
Explore our Data Warehousing Services
Data warehouse design
Understand data, its interrelationships and business rules through an effective data warehouse design. Improve quality of enterprise data, reduce redundancy, and accelerate data movement within your organization.
Collate data silos and present them as a single version of truth among all users. Unify enterprise data and get insights on valuable business information to make timely, cost-effective decisions.
Identify hidden facts and dimensions within underlying data. Leverage data tuning, data configuration, and data optimization for data models that are fit to your unique business needs.
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Create a solid foundation for your analytics efforts with a clean and efficient data warehousing system and design.
Consolidate enterprise data quickly from different sources and provide access to relevant data to users when needed.
Eliminate chaos often caused by multiple versions, data discrepancies, and inconsistent data with a single version of the truth.
Process data from a variety of sources and deliver insights faster – improving efficiency, quality, and reliability of business decisions.
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Discuss with one of our specialists to discover solutions to critical customer data problems affecting your enterprise today.
With contributions by Anwar Haq and George Alifragis Ransomware has grown to become a significant threat to organizations today, no matter the size or industry. Cybercriminals are exploiting vulnerabilities in small businesses and enterprises alike, creating short-term and long-term damage that can impact everything from your employees’ productivity to your relationship with customers.
With the shift to distributed workforces and digital business models, cloud infrastructure and tools have become indispensable to the modern enterprise. But this growing reliance on the cloud also comes with a corresponding increase in security risks and breaches. The question is: When it comes to protecting public, hybrid, or multi-cloud environments, who should take ownership, the organization in question or the cloud service provider (CSP)?
It’s been over a year since enterprises around the world had to pivot and transition to work-from-home setups. While some employees are slowly trickling back into the office, majority of organizations have people working both onsite and offsite. This modern workforce has brought out an increasing reliance on cloud infrastructure, an essential tool for collaboration and business continuity. Technology like this isn’t without its risks though. In order to effectively mobilize a borderless workforce, it’s important to be aware of the cybersecurity risks involved.
Machine learning models are often used for decision support—what products to recommend next, when an equipment is due for maintenance, and even predict whether a patient is at risk. The question is, do organizations know how these models arrive at their predictions and outcomes? As the application of ML becomes more widespread, there are instances where an answer to this question becomes essential.
As organizations refocus and restrategize this year, machine learning projects seem to be on the top of IT priority lists. Innovation is more important than ever, and this has led to higher spending, increased hiring budgets, and a wider range of ML use cases.
The new normal brought digital commerce to the forefront, with customers preferring remote sales, online ordering and payments, and contactless purchases. The question is, are organizations equipped to cater to these constantly evolving buyer habits? Let’s see how the right solution and strategic application development can help fuel growth in the digital economy.