In today’s competitive Australian business landscape, the value of extensive data analytics continues to grow in importance. Businesses can utilise analytics and business intelligence to make well-grounded, data-driven decisions, reveal valuable insights into customer behaviours, and take advantage of the abundant data available to refine operations, enrich customer experiences, and foster growth and profitability.
Maximize Business Success with Valenta’s Managed Data Analytics service,
Insights from Nathan Morris
Mid-sized Australian businesses may face hurdles when attempting to harness the power of data analytics. Common challenges include limited human resources and expertise, constrained budgets that hinder investments in cutting-edge data analytics technology or hiring specialised data analysts, and access to high-quality data. Incomplete or inconsistent data can obstruct the generation of accurate insights and make deriving meaningful conclusions difficult. Robotic process automation (RPA) can significantly assist with automating data collection. Another obstacle mid-sized Australian businesses may encounter is the integration of data from various sources. Data may be dispersed across numerous systems, complicating the process of effective integration and analysis. This can lead to an incomplete understanding of the business, impeding informed decision-making. RPA bots can also help in addressing this issue.
At Valenta, we are committed to assisting our Australian clients by combining quality data collection with insightful analysis. Our proficiency in business intelligence and the deployment of RPA bots enables us to offer comprehensive data analytics solutions tailored for Australian businesses. Valenta sets itself apart as a top contender for data analytics consulting and managed services throughout Australia, owing to our extensive knowledge in data analytics and our adaptive, client-focused approach. As a data analytics consulting firm, Valenta has a team of local Managing Partners strategically situated in cities across Australia. Our Managing Partners boast considerable experience in data analytics and are adept at delivering services in cooperation with our onshore, nearshore, and offshore staff.
Valenta’s Managed Data Analytics services provide Australian businesses with access to a group of accomplished data analysts who excel at managing complex data environments and assisting companies in deriving accurate insights. We utilise cutting-edge data analytics technologies to ensure that businesses have access to the finest tools and pioneering solutions. Valenta presents a flexible, scalable model that can be customised to cater to the unique needs of each business operating in the Australian market.
Work with Valenta to identify your Analytics Strategy. Most Businesses use Business Intelligence Tools to create Dashboards but confuse that with Analytics. It is important to understand the difference between Business Intelligence, Business Analytics and Data Analytics.
Business Intelligence helps in the process of collecting, storing, and analyzing data from business operations. BI provides comprehensive business metrics, in near-real-time, to support better decision making. You improve almost every aspect of your business with better business intelligence.
A subset of BI, Business Analytics, refers to the process of taking your company’s raw data and turning it into useful information, including identifying trends, predicting outcomes, and more. Some common methodologies in business analytics are Data Mining, Aggregation, Forecasting, Predictive Modelling and Data Visualization.
Data analytics is the technical process of mining data, cleaning data, transforming data, and building the systems to manage data. Data analytics takes large quantities of data to find trends and solve problems. Data analytics is the big picture.
Data Visualization Product – Provides information to CFO & CEO
Valenta believes in designing, modernizing, and building mission Critical technology systems which most clients depend on every day. We are focused, independent company, implementing Valenta’s Business-Unit Prototype, we make sure that strategic requirements are covered, and that the solution is built from end-to-end from a 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.
Also, the below steps help in providing right analytics capabilities for real-time marketing insights and decision making
Driving Digital Transformation by leveraging best-in-class technology solutions: