1629 N. Dixie Avenue, Kentucky, 42701
Think AI India That Ensures Your IT Runs Seamlessly, Anytime and Every Time
Effectively handled data engineering and data science activities that support business objectives, resulting in greater productivity and efficiency for enterprises. To optimize and improve the company, Sigmoid has collaborated with numerous Fortune 500 businesses to create and execute data-driven frameworks that address organizational changes, technology, and procedures. Our data consultants offer the appropriate viewpoints and data analytics products that align with both short-term and long-term company ambitions, whether creating a new data strategy structure, improving an existing one, or implementing it.
BI is evolving more quickly than ever before. Cloud, mobility, big data, the Internet of Things, artificial intelligence, and analytics are some of the technological innovations propelling this shift. Concurrently, as competition rises and regulatory constraints tighten (particularly in sectors like BFSI, Retail, and HLS), there is an increasing need for user data and insights. Legacy technology is the main obstacle to keeping up with this pace of change.
The demand is too great for platforms and systems implemented six or seven years ago. These systems lack scalability and flexibility, are difficult to integrate with other novel applications and third-party systems, are expensive to maintain, and many lack end-of-life support. These indicate that the time is right for your BI platform.
Organizations are searching for structured methods for streamlining the management of their BI platforms to overcome the aforementioned challenges. These methods involve unifying the BI tools across the enterprise, rationalizing the current report inventory, migrating to a newer BI platform, and then establishing BI governance. Delaying the shift comes at a high cost. According to one study, employees in companies with poor BI tool consolidation use BI tools at a lower rate (~12%) than employees in companies with strong BI standardization and consolidation (~25%). Because of this, BI standardization is much more expensive per employee. Additionally, the survey discovered that companies with standardized BI tools spend 36% less on BI as a share of revenue on average.
These findings have far-reaching consequences, indicating that there is a hidden cost to postponing BI transformation that many firms are unaware of: fewer people use BI in the absence of simplification and consolidation, which results in missed opportunities and operational inefficiencies.
The secret to a successful BI transformation is to take into account BI consolidation and use strong migration frameworks, tools, and accelerators to address simplification, standardization, and governance procedures holistically. A flexible, extendable, and configurable BI platform should be the ultimate product. There is no denying the benefits of uniformity and consolidation. To accomplish this, businesses need to take four easy steps:
Collaborate with your business and IT heads to comprehend current and future business intelligence requirements. This facilitates the selection of appropriate technology stacks and unifies BI into a single, top-tier BI platform. Due to reduced support, maintenance, and governance of fewer BI products, this immediately improves the reliability of data by 20 to 25% of enterprise semantic models and lowers TCO by 30%. Following their selection, the instruments aid in defining the governance that surrounds them.
Because of the various BI platforms, enterprises have a large number of reports without any way to monitor their effectiveness. In order to identify comparable or duplicate reports, as well as "Unused/Unuseful" reports, and to rationalize them, organizations must record their inventory of reports using a systematic and automated approach. Generally, 40–50% of reports are identified as potential candidates for rationalization, and removing them can result in a 25% reduction in generation and maintenance costs.
Dashboards, procedures, and patterns are familiar to users. How are they going to react to change? Platform transformation has two components: user-centered change management and technology migration. To ensure low mistake rates and short time-to-market, it is best to develop a migration framework that incorporates automation. It is essential to extract metadata from current systems and map it to the intended platform. Data transformation from your system to any targeted system should be possible. It is also advised that change management procedures be implemented early on by educating users about the technical advantages, raising their awareness of the simplification, and minimizing their discomfort.
A good BI transformation plan consists of both a roadmap and governance (policies and procedures). These must be in line with technology adoption, organizational process maturity, and users. For instance, based on technological settings and industry/regulatory constraints, on-premise, cloud, and hybrid models will require distinct governance procedures. It is impossible to undervalue the importance of sound government. When they have effective governance in place, many firms see a 20% increase in benefit realization.
Construct a scalable and robust data mesh infrastructure that uses emerging technologies, boosts corporate agility, permits efficient data democratization, and gives domain-specific teams more authority.
An important driver of corporate digital transformation is analytics. The development of operational models and business plans that envision data-driven business possibilities and coordinate organizational action should be encouraged by executive leaders.
Data has the potential to be both the lifeblood of modern businesses and their downfall due to poor management, which would impede future expansion and creative, quick end-user experience delivery. It will be challenging for enterprises to incorporate future technologies or layer on advanced analytics capabilities if they do not have a contemporary data architecture and data governance base in place, along with sophisticated data operations. Firms must upgrade their static and dynamic dataflows, integrate applications with new and existing data sources, and implement robust data governance procedures to promote smart data-based decision making for the most profitable outcomes.
A contemporary data architecture guarantees that the data in your company is:
Think AI India Consulting Pvt Ltd’s Data Modernization: Producing Outcomes for a Revolutionary Cloud-Based Digital Future
As the top application-focused cloud managed services vendor in the world, Think AI India Consulting Pvt Ltd promises fail-proof database and data workload migration, modernization, and management across various ecosystems and vital legacy systems, platforms on the cloud enhanced with cutting-edge automation and security. We offer thorough optimization frameworks to assist any company in lowering the cost of modernization. Think AI India Consulting Pvt Ltd provides comprehensive data modernization services, including managed advanced data analytics and BI, database migration services, and database maintenance services.
Typical outcomes to anticipate:
By identifying supply chain bottlenecks and enhancing product selection, pricing, forecasting, and marketing channels, our suite of data modernization solutions lowers costs and increases revenues. A robust data infrastructure and process capacities improve customer service and sales, while novel company structures monetize data and produce direct income from data sets, insights, and analytics-based services.
Unquestionably, technology has a limited lifespan. Businesses that wish to stick with old on-premises systems will ultimately have to deal with the harsh fact that vendors do not maintain their gear and software. All databases and data workloads in older systems are naturally affected by this, which frequently results in performance and security problems. Regardless, on-premises infrastructure investment is expensive.
It is time for businesses to stop handling data by hand. It will be very challenging to meet the compliance standards because of the exponential growth in data. Businesses need to exercise extreme caution now that the GDPR is in effect, since the dangers could be more costly than before.
The necessity for businesses to spend as little as possible on outdated mission-critical systems, technology, and applications is being highlighted by the shrinking IT budgets. The time to use data more creatively and nimbly has arrived. The traditional method of processing data is no longer the best option.
Companies that are implementing data modernization might benefit from a number of benefits. Using more dependable databases that are more scalable and flexible is one of them. Simplifying procedures to increase profits and reduce expenses.
The ability to move data from internal data centers to more potent RDBMS, NoSQL, and Hadoop-based systems results in instant cost savings. This will result in increased agility as a result of changes that can be made quickly to support business goals. Additionally, the business benefits from increased productivity and decreased maintenance costs. Database administration, process management, and other duties are made easier by the graphical user interfaces (GUIs) found in the majority of contemporary databases. Because historical database maintenance is no longer an issue, companies can focus their IT resources on more significant projects. Because of their easy access and ad hoc reporting, modern databases are also easier to operate.
To stay ahead of the competition in the digital transformation race, businesses need to update their outdated databases. With its Data Modernization, Think AI India Consulting Pvt Ltd assists businesses in removing maintenance and administrative expenses. Because Think AI India Consulting Pvt Ltd limits maintenance to apps rather than full systems, it minimizes the quantity of on-premises hardware and makes maintenance easier.
Migrating information from legacy databases to new databases is now affordable and easily scalable thanks to Think AI India Consulting Pvt Ltd's Data Modernization. Think AI India Consulting Pvt Ltd employs AI and ML technologies as a component of the Data Modernization process to assess network and application performance and enhance security through early and faster threat identification.
Businesses can lower the risk of data compromise, modification, or unintentional disclosure by implementing Think AI India Consulting Pvt Ltd's data modernization. Thanks to auditable procedures and controls, it guarantees that the businesses abide by the regulatory frameworks unique to their industry.
Think AI India Consulting Pvt Ltd provides database migration, database maintenance, and controlled advanced data analytics and BI services as part of its comprehensive data modernization offerings. The three-pronged strategy used by Think AI India Consulting Pvt Ltd guarantees the preservation of data integrity. The Think AI India Consulting Pvt Ltd Migration Factory guarantees extremely safe, automated, and economical migration following industry-best practices and frameworks. The modernization and management phases, such as our AIOps-powered managed operations, are accomplished using the same standardized, cutting-edge techniques. We guarantee safer data transport, storage, and backup via our military-grade security, which includes tools, data encryption, testing strategies, and access control.
To get feedback from stakeholders, evaluate data warehouse preparedness, and acquire server and application details, we provide a discovery workshop. To successfully modernize data without causing any operational disturbance, scenarios and workloads will then be identified.
Databases from traditional ecosystems, servers, apps, and platforms can be easily migrated, modernized, and managed by businesses on a variety of public, private, and hybrid cloud alternatives. For optimal data results, store and manage dataflows from a single cloud or dispersed across several cloud architectures and mission-critical private or on-premise ecosystems. Use cutting-edge solutions like EDR, SIEM-SOAR, MDR, Advanced Threat Protection, Threat Intelligence, or Think AI India Consulting Pvt Ltd's exclusive Self-Healing Operations Platform (SHOP) to bolster security and continuity.
Entity mapping is a process used in data analysis that involves mapping the attributes of source entities to those of target entities. We assist in locating any unmapped properties that can cause data loss. We create a migration strategy and architecture that addresses the necessary hardware and storage for staging, the impact of the migration on the size of the target database, the necessary downtime resulting from the migration, and the tracking of source modifications during the migration. As outlined in the migration plan paper, we adhere to the proof of concept. We also assist businesses with standard data classification and maintainability analysis based on the evaluation report.
We check for data inconsistencies as a component of the pre-migration process, which indicates any potential discrepancies between an entity and predetermined standards. Data redundancy, data stability, data type, data length, data purification, and other issues are handled by us. We monitor the quantity of redundant data in legacy databases throughout the pre-migration phase. Based on the results of the stability and inconsistency checks, we sanitize the data.
The data transformation is carried out under the transformation rules as part of the transform and migrate process. We also move the data from the source to the target in tandem with it. We assist in reporting and resolving migration-related log and report problems, as well as migration status.
We record every modification made to the source system as part of the ongoing migration. We spread the modifications to the intended system as well. Converting proprietary ETL (Infa, etc.) to native cloud/open source ETL (e.g., Spark/Lambda/Glue), we assist in redesigning the workloads. Transferring warehouse layer storage to the cloud, addressing migration errors, transferring data marts to a new platform, reporting from the new platform, onboarding additional LOBs, and onboarding analytical use cases are all tasks we handle. We make certain that the target system receives the modifications.
We offer data reconciliation and assurance as part of the post-migration process. On the new platform, we handle advanced analytics, develop search functionality, and compile all data and analytics.
Evaluate the data's preparedness to rank complicated AI use cases, accelerate the deployment of ML models, and guarantee an effortless integration of corporate data analytics solutions to achieve better insights.
We assist you in getting the most out of all of your data assets, regardless of their format or location. Our analytics professionals work with you to address your most difficult problems so that you can not only achieve results fast but also develop the internal capabilities necessary to expand your newly acquired data expertise.
We use the most up-to-date analytics methods and resources to assist you in producing insights that lead to quicker, better decisions. Think AI India Consulting Pvt Ltd's AI, Insights, and Solutions experts can assist you in reimaging your business, ethically use cutting-edge technology, and turn your data into a constant source of value. This includes linked customer and data-driven supply chains, smarter go-to-market strategies, and increased staff engagement.
Businesses are finding it more and more challenging to realize the full potential of data as its volume and complexity skyrocket. We tackle your data problems holistically, assisting you in overcoming barriers and rising to the top of analytics.
Customers are the best source of information about what they want, but you must be able to listen to them. You may test hundreds of different products, pricing, and messaging factors with Experimentation at Scale to determine the one that works best for your audience.
Demand cannot be predicted in a vacuum. Our analytical know-how and comprehensive approach cover all company functions, from marketing to supply chains. We'll assist you in concentrating your efforts, refining your strategy, testing your findings, and scaling an exceptional forecasting capacity.
It's time to prepare your company for the AI era. We assist you in integrating AI into all you do and in realizing its promise at the nexus of strategy and technology. Let's make the promise of AI a reality.
Develop the appropriate cloud platforms and ecosystem partners, as well as strategies and reliable data pipelines for the on-premise to cloud migration.
When your extensive efforts to use cloud technology are threatened by exorbitant expenses and subpar performance, what should you do? Uncloud? No! Maximize! Doesn’t matter at which step of the cloud journey you stand, the cloud experts at Think AI India Consulting Pvt Ltd will assess your current setup, recommend best practices for areas to improve, develop and implement a solution, and offer you ongoing cloud optimization to:
Cloud cost optimization is nearly always at the top of our clients' enterprise agendas, but excessive cloud spending is not a stand-alone issue; rather, it is inextricably linked to performance issues. Think AI India Consulting Pvt Ltd's methodology for enhancing cloud costs and performance includes:
Security is the foundation of the cloud architecture of Think AI India Consulting Pvt Ltd. Our professionals apply industry-proven methods to enhance a pre-existing security baseline and apply cloud-specific security procedures and controls that can supplement current procedures.
Delivering the necessary security infrastructures to enable secure corporate use of cloud services is the goal of our cloud optimization strategy. It consists of:
We combine every facet of cloud optimization to produce the best possible outcomes. We conduct the following actions as part of our cloud optimization services:
We carefully review your cloud implementation, paying particular attention to:
Following a thorough examination of your cloud system, we condense our suggestions into a clear plan that is simple to implement as a series of cloud optimization projects. The cloud optimization strategy of Think AI India AI Solutions Pvt Ltd offers advice and insights on how to:
Think AI India Consulting Pvt Ltd offers reliable, superior engineering and construction services within a cloud optimization process, in addition to developing architectural concepts that benefit your company. Regardless of the current size of your company, you will collaborate with a group of skilled cloud design professionals who will help you reimagine your present system to make it more economical and efficient.
We also urge you to apply the best DevOps methods to fully utilize cloud capabilities. By automating laborious and error-prone manual configuration and integrating Infrastructure-as-code (IaC) into CI/CD pipelines, you may improve your company's cloud environment's speed, uniformity, accountability, and cost-effectiveness.
At Think AI India Consulting Pvt Ltd, we are aware that cloud optimization is a continuous process rather than a one-time event. For this reason, we offer more than just turnkey solutions; we also offer advice on how to handle cloud security, performance, and cost concerns during the course of your cloud journey.
By updating data infrastructure and putting in place a robust data mesh design.
Using a well-organized plan that synchronizes data projects with corporate objectives to facilitate decision-making.
Utilizing AI/ML models and advanced analytics to obtain a competitive edge and open new revenue streams.