Is your customer a Segment of “ONE”
In an increasingly customer-centric world, the ability to capture and use customer insights to shape products, solutions and the buying experience is critical. Syncrasy enables organizations to better understand their customer DNA and deliver personalized interactions.
The twentieth century producer-led economy has now been superseded by an economy centered on the individual, in which the consumer has a far bigger say – and bigger expectations.
Know me, serve me, don’t sell to me, is the mindset of the modern customers. So in today’s customer centric world, organizations need to listen to all customer interactions, understand their buying preferences and deliver consistent, compelling and tailored buying experiences across all service channels.
Building a 360º view of customers is not a new concept, but looking at traditional customer segmentation data such as age, gender, demographics and history only provides a partial view. A whole new set of information channels and data sources now need to be considered, integrated and analyzed including location data, click streams, social media and data from online mobile and smartphone apps.
The question is how do you bring these diverse data sets together when they reside in a multitude of internal and external data silos and store the vast amounts of data required to create the meaningful insights that enable the delivery of consistent and compelling customer experiences. That’s what a modern 360º customer view and seeing your customer as a Segment of “ONE” is all about.
For most of large organizations internal customer centric data tends to reside in line of business systems across multiple business units, and often with overlapping and conflicting information.
Legacy DataMart’s and ETL systems have helped, but running on expensive and proprietary platforms that require predesigned architectures and sizing make them difficult to scale.
NEW DATA SOURCES
To create modern 360º customer views new data types (emails, clickstreams, geospatial, video and social media data) need to be collected, managed, integrated and analyzed together with traditional Enterprise data sources.
However, new data sources require new database technologies because traditional relational databases don’t support all modern datatypes.
Total worldwide data is expected to increase to 163 ZB by 2025, that’s 10 times the amount today and the majority will be created and managed by Enterprises.
This meteoric rise of data will provide immeasurable opportunities for Enterprises to gain advantage in the market, but they must be prepared.
COST OF DATA PROCESSING AND STORAGE
Processing today’s data volumes with proprietary “Big Box” technology is expensive, doesn’t scale well and is difficult, if not impossible, to migrate to the cloud. And at some point you just cannot add more computing power to vertically designed applications.
Proprietary storage solutions have the same issues, compounded by the fact that they were not designed for today’s diverse datatypes.
Syncrasy’s Platform Core Technology
Fault-tolerant, distributed and extensible by design, Syncrasy’s Platform Core efficiently manages elastically scalable COTs based computing resources, automates resource balancing to meet application requirements and supports full redundancy and high-availability of all deployed databases and applications.
Syncrasy’s Software Defined Storage
Syncrasy’s COTs based Software Defined Storage Solutions provide low cost, highly scalable options to store traditional and new data types and volumes with no vendor lock-in whilst at the same time allowing the re-utilization of existing legacy storage infrastructure.
Syncrasy’s Run Anywhere Technology
Fully optimized for bare metal, virtualized, cloud or hybrid infrastructures, Syncrasy’s Run Anywhere Technology lays the foundation needed to flexibly initiate and migrate these innovations with minimum investment and maximum scalability.
Syncrasy’s Chameleon Technology
Syncrasy’s Chameleon Technology enables the plug-ability of the modern, data centric applications needed to manage all data types and volumes, from connection through transformation and to delivery into data stores, data analytics and machine learning processes, data visualization tools and potentially triggering the automation of actions needed to optimize enterprise performance from Big Data projects.
Syncrasy’s Virtualization Technology
A lightweight, low cost alternative to full machine virtualization, Syncrasy’s Virtualization Technology delivers high availability, live migration and automatic backup & restore for both modern cluster based applications as well as existing line of business applications.
Syncrasy’s Pluggable Applications
New data centric applications are appearing every day and no single technology is fit for every purpose, which is why Syncrasy incorporates pluggable choices from today’s best of breed applications across the whole data processing spectrum, and is committed to adding new technologies as they advance.
Leverage DataRobot Automated Machine Learning Platform
The ability to truly democratize the process is perhaps the most important element of any enterprise machine learning platform. DataRobot automates the entire modeling lifecycle, enabling users to quickly and easily build highly accurate predictive models. The only ingredients needed are curiosity and data — coding and machine learning skills are completely optional!
Automate Machine Learning
The ability to truly democratize the process is perhaps the most important element of any enterprise machine learning platform. DataRobot automates the entire modelling lifecycle, enabling users to quickly and easily build highly accurate predictive models. The only ingredients needed are curiosity and data — coding and machine learning skills are completely optional!
Impact the Bottom Line
Eliminate expensive consulting firms and take charge of your machine learning and AI outcomes. With DataRobot your existing team can turn data into actionable information and develop recommendations with confidence. Better models and more control of the data science process translates into immediate cost savings and potentially new revenue opportunities.
Get Started Immediately
If you have a good understanding of your business and leverage Syncrasy data warehousing and curation tools, then you have everything you need to get started. DataRobot will automate the laborious math and coding components of data science, and deliver beautiful visualizations that explain what’s going on during every step in the process.
In addition to automatically building machine learning models, DataRobot delivers business insights so you can identify the most important drivers of your business metrics, identify key words within freeform text, and understand the logic behind each decision your model makes. Then, export visuals to support your findings to make creating presentations easy.
Deliver Predictive Insights
Progress from business analyst to citizen data scientist without advanced training and coding. DataRobot automatically tests hundreds of advanced algorithms to build the optimal model, delivering predictive insights to your business in hours, not months. Built-in guardrails help you identify data problems and other errors so you can feel more productive and valuable.
Automate Repetitive Tasks
DataRobot automatically identifies the best pre-processing, feature engineering, and model validation for each modeling technique, and scientifically selects the hyper-parameters and options that optimize the performance of your models. Of course, the platform also allows you to select your own tuning parameters and do custom feature engineering.