Data Warehousing and ETL Data Warehousing is the process of preparing an environment that essentially stores a huge amount of data. Of late, it has assumed a prominent position in the management and analytics of modern data. It's actually a centralized, organized central repository of huge volumes of data coming from diverse sources. The ETL process entails extract, transform, and load that provides businesses the capability to manage and access data quite efficiently. This all is done by the process of ETL, which itself retrieves raw data from various systems and transforms it into a format to load into a warehouse. It keeps up the structured approach of letting businesses have a reliable and accurate source of information for proper analysis and decision-making.
Our Data Warehousing and ETL solutions in smartData are designed to offer clients significant advantages. It would help consolidate data from disparate sources like CRM and other operational systems into one platform, so businesses could see all their data in a single place and reporting and analysis could be that much easier. Real-time access to consistent, high-quality data is also an important advantage in improving decision-making because it generates actionable insights faster and can better-inform strategies, reacting quickly to trends in the market.
Our ETL process also ensures data quality through rigorous validation and cleaning of incoming data, removal of errors, inconsistencies, and redundancies that can compromise analytics. Solutions are also built scalable, handling the growing volume of data as your business grows without affecting performance or speed.
For instance, it would save them such tremendous time and costs they otherwise would have spent on handling data manually. So, they can eventually focus more efforts on initiatives that are at a higher strategic level rather than spending precious resources on low-priority tasks of data integration. Our Data Warehousing and ETL solutions enable clients to maximize the value of their data, streamline operations, and unlock new growth opportunities with data-driven decision making.
Predictive Dialing system has been developed for Australia based Real Estate & Financial Services provider. The main objective of this system is to increase efficiency of business operation by 35%-40% by managing calls based on predictive dialing concept. By eliminating delaying factors like no answer, wrong calls, dnc, etc. automatically, system is connecting telemarketing team with available customers directly, hence an increase in productivity.
Developed an algorithm for a tile manufacturing company that can analyze photographs of tile's surface to determine the smoothness. Various images were given as the data set for the development of an algorithm to find the roughness of the surface of the product. The algorithm is fed with two images namely reference image and distorted image and after comparing as well as analyzing both images, An estimated distortion percentage is calculated which is aligned with the human judgment in comparing the two images.
Freight marketplace platform that digitizes freight forwarding process and the associated supply chain with product and services being provided by multiple third parties with transactions being processed by the platform that helps optimize routes for shippers, forecast capacity needs or rates by routes and evaluate carriers with an objective of cutting cost and reducing paperwork. Platform provides instant quoting and rate management solution for freight forwarders and engage exporters, importers and agents.
Online food ordering and catering management portal giving brand presence to Chinese restaurants/takeaways who have limited or no online base in more than eight states in the US . Users get special offers and deals on the basis of location and loyalty points. The application automates bulk ordering and users can create three types of orders:
It is an entertainment platform for a free next-generation streaming guide & rating aggregator that lists all the movies and TV shows by all the streaming providers from different countries. The platform aggregates all the ratings and enables users to share their watch lists, ratings, and recommendations with each other. Its database contains more than 101,000 movies, 19,000 TV shows, 5,500 shorts, 373,000 actors, and 49,000 directors from multiple different third-party APIs and collaborators.
In auto, case creates each referral is matched with the existing patient in the system on the basis of matching criteria system sets the Referral Status, and here the possible referral status.
Match note found – If no referral found any match with the existing system, in this case system converts that referral into new patients and assigns a case Id to this referral.
Review Matches – This status is set when there are multiple matches for a referral, in this case, a manual process happens, in this process user selects particular patients and links that patient to this referral.
The new case created – When a referral is converted to a patient and gets a case id then the referral’s status becomes a new case created.
Features:
Auto case creation is a technique when a referral is received in the form of an XML file, then this file gets parsed in our product and the information resides in xml files gets saved in the database in sections like Referral Basic Info, Address Info, Diagnosis Info.
Justin Moses
CEO and FounderI have worked with many developers and agencies in past. we have a very complicated mobile development application. But, working with smart data from last 4 months i realized that...
Ben Rebbeck
CEO and FounderWe have clients throughout Australia, New Zealand and Asia. smartData is the number one company so far which has understood our business needs. We searched for partners who could come...
Gavin Hoult
CEO and FounderWe recently partnered with smartData,for a critical workforce management project. Their progress has been exceptional, exceeding expectations.For any company seeking a reliable and innovative software development partner with deep AI/ML...
Marc Myers
CEO and FoundersmartData’s highly skilled and respectful team made the collaboration a pleasure. We look forward to the future and the impact of our ongoing partnership with smartData. Highly recommend them for...
John Bonardelli
CEO and FoundersmartData have been a very attentive development company. They have continued to surpass our expectations in delivery, management, communications, and planning. We have been impressed with their can-do attitude, with...
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