Managed Data Analytics

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Managed Data Analytics

Data Analytics is Critical for Nearly All Businesses Today

Increasingly organizations are using services to help them manage their data and gain business insights

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.

The following are just some of the ways Data Analytics can help today’s businesses

  • Intelligent Decision Making – Data analytics enables businesses to make data-driven decisions that can drive growth and profitability.  By analyzing numbers related to sales, revenue, and other key performance indicators, businesses can identify trends and make informed decisions that can help them grow and increase profitability.
  • Reduce costs  – Data analytics can also help businesses optimize their operations by identifying inefficiencies and areas where they can reduce costs.  By taking a deep dive on production processes, supply chain management, and other operational areas, businesses can identify areas for improvement and implement solutions that can increase efficiency and reduce costs.
  • Gain insights into customer behavior – By analyzing data on customer interactions, businesses can identify patterns and trends that can help them understand customer preferences and demographics.  This insight can help companies tailor their products and services to better meet the needs and expectations of their customers.
  • Improve customer experience – Data analytics can help businesses enhance the customer experience.  By analyzing data on customer feedback and interactions, organizations can identify areas where they can improve customer interactions, services, and support.  They can also tailor their products and services to best match customer needs.

Maximize Business Success with Valenta’s Managed Data Analytics service, Insights from

Nathan Morris

Midsized Companies and Data Analytics

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 for Data Analytics

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. 

Examples of How Managed Data Analytics Is Used


Process Flow Mapping & Data Workflows

Reporting, scaling

Reporting to Key Stakeholders


Reporting to Key Stakeholders

Data Analytics Challenges

  • Usage of Legacy applications
  • Increasing Demand for Data Centric roles and high costs to recruit and retain talent
  • Leadership lacks the skills to create a data-driven culture
  • Fear of the Unknown

Valenta Can Assist with Data and Analytics Strategy and Implementation

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.

Valenta Implementation Approach


01 Current-State Analysis

Understand the organization’s current enterprise technologies

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.

Key Benefits:
High-Level Data Model
Importance: Obtain a workplan outlining time per resource, hourly breakdown and required technologies.


02 Minimum Viable Product (MVP)

Multi-dimensional product focusing on a critical business unit

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.

Key Benefits: 
Resources optimization & Customer acquisition
Importance: MVP lets you understand different problems your future customers need to solve.


03. Full Implementation

Roll the product out to other business units

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.



04. Managed Analytics

Proactive monitoring and progressive enhancements

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.

Outcomes from a Valenta Implementation

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:

  • Scale: The cloud solution adapts to the needs and data capacity of the organization.
  • High Speed: Reports will refresh in seconds compared to minutes.
  • Reusability: A centralized model that can be used across all business owners. One centralized team can manage the model for issue management, etc.
  • Single Source of Truth: Formulas and calculations are consistent across business units and departments.
  • Governance: Control who can see what. Role-level security will allow certain users to only access certain data.
  • Documented: The model will be well-documented in Azure Data Catalog to clearly identify the use of each column and data table.

Valenta Managed Service, Analytics as a Service

Accessing current information architecture and get a data strategy roadmap providing competitive advantage while aligning to business needs.

  • Data Integration Services: Integrate your line of business data physically or virtually from multiple sources to formulate a unified view of visualizations.
  • Data Quality Services: Enabling businesses to perform quick assessments, assess the quality of the master data, and foster growth..
  • Data Warehouse cloud: Aligning IT to business objectives with Scalable Cloud Analytics and Real-Time Insights by offloading data from a Traditional Data Warehouse to a Cloud Data warehouse.
  • Data Lake: Driving businesses make smarter, agile, and data-driven decisions by unlocking the potential of previously unstructured data and build a data lake to manage, govern, and access it.
  • Data Architecture: Understand various data solutions patterns and enable businesses to make quick decisions, be agile, and stay competitive through a data framework.
  • Data Storage: Improving Business Operations with the simplified storage process, eliminating the hassles of managing & storing day-to-day data.
  • Business Intelligence on Cloud: Enabling business stay ahead of the curve, improve business processes visibility, and better decision-making with a synergy of cloud and BI.  
  • Business Intelligence on Cloud: Enabling business stay ahead of the curve, improve business processes visibility, and better decision-making with a synergy of cloud and BI.  

The below steps help in providing the right analytics capabilities for real-time marketing insights and decision making

  • Client Needs Assessment: The first step involves in-depth discussions or workshops with the clients to understand their needs, current gaps and pain points, data sensitivity and regulatory issues, proximity requirements etc. and determine the nature of outsourcing required.
  • Onshore Strategic Assessment: In this step, the outsourcing opportunities are prioritized by ease, complexity, scale, and other parameters. Based on this, the technology interfaces, skills and training required are outlined, and a high-level business case and roadmap are developed and presented to the client.
  • Engagement Kick-off: Based on client approval, the engagement is kicked off with the appropriate solutions, infrastructure, resources, transition plans, risk mitigation plans and engagement model.
  • Onshore Strategic Assessment: In this step, the outsourcing opportunities are prioritized by ease, complexity, scale, and other parameters. Based on this, the technology interfaces, skills and training required are outlined, and a high-level business case and roadmap are developed and presented to the client.

Key Benefits of Valenta Managed Data Analytics

  • No upfront investment in analytics resources
  • Reduced total cost of ownership
  • Accelerated path to business insights
  • Easily scalable based on long-term or short-term requirements
  • Access to latest technologies and best practices

Valenta Can Launch Data Analysis Project Quickly and Cost Effectively

salesforce automation process
  • Enterprise-level analytics with the reduced cost of ownership
  • Improve data processing time using a scalable and robust solution
  • Securely store processed data and analysis artifacts in various file formats and modes
  • Efficiently operate and supervise ongoing operations of analytics processes
  • A deeper understanding of the interdependencies of various components of Data Management
  • Implementing high ROI Analytics systems is a testimony to our depth in the data management space

Embark on your Data Transformation Journey Today

Approaching Analytics to Solve Complex Problems

Maturity Models


Data Strategy

  • Create a structure to handle business requirements
  • Build a Data First Culture across the organization
  • Monitor Data to constantly build trust
  • Maintain a Roadmap to optimize and track Data Goals.

Cloud Data Modernization

  • Streamline Data Processing
  • Embrace Cloud Benefits
  • Improve Data Governance and Security
  • Architectural Flexibility and Scalability

Cloud Migration

  • Cost Reduction
  • Productivity Improvement
  • Enhanced Data Security
  • Operational Efficiency

Data Driven Insights

  • Identify new revenue streams and business opportunities
  • Provides clarity and increases transparency
  • Predictions are backed by Data
  • Improved Team Productivity across the Organization
  • Improves governance across the Organization
  • VALENTA’S EXPERTISE: Provides clarity and increases transparency
  • We integrate with several platforms to enable greater flexibility and speed to results. • Improved Team Productivity across the Organization

Valenta Analytics Expertise

We drive Digital Transformation by leveraging best-in-class technology solutions


And more…

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