Organizations today have to deal with a data deluge thanks to increasing digitization and various multi-channel transactions. Apart from organized data such as information logged by digital devices, nearly 80% of data held by an organization is unstructured data, comprised of information from customer calls, emails and social media feeds. DecisionTree Big Data Solutions can help enterprises aggregate, integrate, validate and compile the data to derive actionable insights for generating more revenue and increase operational efficiency.
The DecisionTree support stack has components of data engineering, data visualization and data sciences and uses it to discover hidden patterns while analyzing large swathes of unstructured data to gain better insights into consumer behavior. DecisionTree helps executives make smarter decisions by using these very insights to improve customer experience, customer service and product development strategies.
Poor data quality can kill organizations. Gartner research indicates that the average financial impact of poor data quality on organizations is $9.7 million per year. This is why customer data integration is such a crucial part of the Big Data journey and a key operational challenge for the IT department. Irrespective of the size of your enterprise, we help you meet your data integration needs in a cost-effective and efficient way. We use state-of-the-art data processing scalable platforms such as Talend, Pentaho Kettle and Microsoft SSIS that can pull data from a variety of sources and transform it into meaningful information for your executives.
There has been a big disruption in the traditional data warehousing space. While the implementation can be a difficult task with a high rate of failure, using more modern and agile technologies can prove to be more successful and offer a higher ROI.
We at DecisionTree work with columnar database technologies such as Alterian and ParAccel, which are 10 to 50 times faster than standard relational databases platforms and have the ability to work with billion+ record sets. We help enterprises with data archival, ETL architecture and self-service Business Intelligence
Big Data Analytics
Analytics outcomes drive targeted actions through structured inbuilt campaign management and response modeling tools. Our expertise lies in working with multiple analytics technologies, including open source tools. DecsionTree experts work with Alterian, the best of marketing analytics software in the Gartner Magic Quadrant for Enterprise Marketing Management.
It combines powerful data processing capabilities with train-of-thought analytics abilities and powerful modeling applications. Inbuilt KXEN capability and expertise on 'R' and RapidMiner & Knime helps us to deliver robust and accurate predictive models.
Big Data Visualization
How can Big Data be used to improve customer relationships? Data visualization can be used to clarify the factors that influence customer behavior, put attention on those areas that need improvement, help place the right products at the right place and also help in predicting sales volume.
For data discovery and visualization we work with some of the leaders in the space including Klipfolio, Tableau, Domo and Microsoft SSRS. Data Visualization will change the way your analysts work with data and help executives to respond to issues far more quickly and aid in better decision-making.
Big Data Consulting
Most organizations grapple with tonnes of data every day and try to figure out the best strategy to dig out insights from the unstructured data. We at DecisionTree enable organizations to conceptualize and implement a well-thought-out big data program across multiple domains and focus areas.
Our solutions include maintaining and managing Big Data services, finding the right approach to collecting and integrating data, develop and implement big data solutions across all business verticals.
Using retail analytics on loyalty card data, a leading pharmacy retail company increased transactions by 15% and clocked 30% rise in average ticket size for loyalty card holders.
Sales at a leading US-based marketplace seller soared 1.5 times, while operating margins registered a 50% increase after changes were made to its pricing algorithm.
Retail giant registered 18% revenue growth by using analytics-driven targeted marketing.