Comprehensive Data Analytics are increasingly important for businesses. Analytics and Business Intelligence help organizations make data-driven decisions and gain valuable insights into customer behavior. There is an increasing availability of data that businesses can leverage when combined with analytics to optimize their operations, enhance customer experience, plus drive growth and profitability.
Mid-sized businesses can face challenges when it comes to data analytics. One of the biggest challenges is the lack of human resources and expertise. Mid-sized businesses also frequently have limited budgets and may not have the financial resources to invest in the latest data analytics technologies or hire expensive dedicated data analysts. Yet another challenge is the quality of data. Mid-sized businesses may not have the same access to high-quality data as larger companies, which can make it challenging to generate accurate insights. Their collected data may be incomplete or inconsistent, … and this can make it difficult to draw meaningful conclusions. The automation of data collection and leveraging RPA (robotic process automation) can greatly help with this. Integration of data from different sources is another challenge. Mid-sized businesses may have data spread across multiple systems, which can make it difficult to integrate and analyze data effectively. This can result in a fragmented view of the business and make it difficult to make informed decisions. RPA bots can also help with this. Combining quality data collection with insightful analysis is something we assist our US based clients with. In addition to being skilled in Business Intelligence, Valenta is also adept at deploying RPA bots.
Managed services can be an excellent option for mid-sized businesses when it comes to data analytics. Valenta provides Managed Data Analytics. We improve business outcomes for our US clients in this area every day. Managed Data Analytics offer a range of benefits that can help overcome some of the challenges that mid-sized businesses face. The most significant advantage of managed services is that they provide access to a team of experienced data analytics professionals who have the expertise and technology to manage and make sense of complex data environments. Managed services also offer a more cost-effective option for mid-sized businesses compared to staffing an in-house data analytics team. This can be particularly important for mid-sized businesses with limited budgets and resources. Managed Data Analytics services also provide access to the latest data analytics technologies and tools. This can be particularly important for mid-sized businesses that may not have the financial resources to invest in the latest data analytics technologies. Managed Data Analytics services provide flexibility and scalability, allowing mid-sized companies to adjust their data analytics needs as their business grows and evolves. This can help ensure that they have the resources to meet their data analytics requirements without overspending.
Managed services offer access to experienced professionals and the latest technology, … plus they are cost-effective, flexible, and scalable.
Services like Valenta Managed Data Analytics help mid-sized businesses overcome business intelligence and analytics challenges they face and drive growth and profitability.
Our approach – Valenta believes in designing, modernizing, and building mission-critical technology systems which clients depend on every day. We are a focused, independent company, implementing Valenta’s Business-Unit Prototype. We make sure that strategic requirements are covered, and that the solution is built end-to-end for any chosen business function.
Current State Analysis
Introduction: The first step of a successful centralized cloud data storage and analytic implementation is a full-scope discovery. This is required to understand the current state and needs of each individual business unit.
Goal: To help companies understand the Solution set, Timeline, Resource Requirement and Costs.
High-Level Data Model
Importance: Obtain a workplan outlining time per resource, hourly breakdown and required technologies.
Introduction: The Minimum Viable Product satisfies critical business, and a product can be called minimally viable if it has some features to be validated within the market and brings the core value to early adopters.
Goal: To help companies validate their opportunity hypothesis and get the green light for developing a full-fledged product.
Resources optimization & Customer acquisition
Importance: MVP lets you understand different problems your future customers need to solve.
In this phase, new data types are added, and more focus is put on common understanding, consistency, and the accuracy of data.
Based on the learning experiences, new enhancements and features are proposed and implemented.
Work is focused on further adoption at the same time making sure that settled users are not impacted by the changes.
We extract the data into a data warehouse, clean it to ensure high-quality data, and integrate the data into the customer’s warehouse.
We Provide daily reporting as well as ad hoc analytics and if required we can setup alerts for business users that will notify if any deviation is found.
Valenta is agile in providing accurate reporting. We strive to enhance the consistency of the analysis, respond to changing business needs and provide solutions.
An essential part is setting up necessary protection to minimize risk and protect analytical assets.
The end results will consist of a centralized team in charge the finding and promoting interesting analysis across the entire organization.
Local teams will be empowered to create and innovate. The centralized team identifies the most successful work being done at a local level and provides a platform to share and promote this work at a corporate level.
The following key benefits will be attained by implementing Valenta’s Centralized Cloud Data Storage and Analytic solution:
Accessing current information architecture and get a data strategy roadmap providing competitive advantage while aligning to business needs.
The below steps help in providing the right analytics capabilities for real-time marketing insights and decision making
We drive Digital Transformation by leveraging best-in-class technology solutions