Data Science uses a multidisciplinary and integrated approach to holistically solve business problems by extracting knowledge from data. It is a blend of technology, statistics and business strategy, used to help answer complex questions.
To remain competitive in today’s day and age, a business must make use of data science to improve its operational efficiency. Every organization possesses mounds of big data, but without the expertise and technology to extract actionable insights, it is worthless. Data science enables your business to make better decisions, identify market trends, act upon opportunities, increase efficiency, accurately select target audience, facilitate recruitment of appropriate talent – the list is endless.
Our data science service acknowledges that every business is different, with different goals, timelines, infrastructures, and measures of success. Thus, we start by asking relevant questions and listening, rather than talking. Through our free workshop session, we seek to understand the challenges and the environments in which they exist, create practical hypothesis rooted in reality and then apply the appropriate toolset and discipline to find a solution
We take your business onto a path from insights to impact. We design personalized solutions from scratch to meet your goals, while ensuring adoption and a clear return on investment (ROI). With the goal to not only solve your problem, but also to support you along the way, our solutions come together with open communication, elegance in design, ease of implementation and long term support.
A data science service engagement cost depends on size and scope of the project which can be determined during our free workshop session that identifies your organization’s challenges.
We are committed to bringing accelerated data-driven value to your organization. Learn about this process and how it contributes to proving ROI with Data Science here.
The Managed Analytics as a Service solution enables business leaders to focus on consuming analytics and driving business results. Syntelli takes care of the underlying technology infrastructure, data ingestion, data processing and other technological challenges associated with data volumes, variety and/or velocity.
The Managed Analytics as a Service solution essentially takes care of the day to day data technology, while the business users and leaders digest the reports and make data-backed decisions that drive organizational success.
After conducting an in-depth workshop to understand your most immediate pains and needs, our team will create an Advanced Analytics/Data Science roadmap. This roadmap will describe each stage of the engagement so that your organization can follow along with the progress.
Our team of experts then gets to work and provides detailed status updates during different touchpoints in the process.
If your organization understands the need and benefits of proper data management, but lacks the needed resources, the time is now. Analytics as a Service removes the headache of working on building up a team with the exact skill set that can manage your business’s data technologies.
The only time required of your team is for our initial discovery workshop where we identify the problems your organization has, and the subsequent status updates to share our progress.
The cost associated with an Analytics as a Service engagement varies and is dependent on the size and scope of the project.
Artificial intelligence is intelligence exhibited by machines, which is revolutionizing the manner in which business is conducted. Machine Learning enables machines to automate processes and improve their performance without the need for humans to intervene, thereby boosting efficiency and productivity in an organization.
AI facilitates informed decision making based on patterns in both, structured and unstructured data. Implementing AI helps extract valuable information from massive amounts of data and insights drawn are able to differentiate a business from its competition.
After conducting an in-depth workshop to understand your most immediate pains and needs, our team will create an AI (Artificial Intelligence) roadmap. This roadmap will describe each stage of the engagement so that your organization can follow along with the progress.
An AI service cost depends on size and scope of the project which can be determined during our free workshop session that identifies your organization’s challenges.
Predictive analytics identifies patterns in historical data to predict the likeliness of a future event, by means of different statistical methods, models, machine learning, and artificial intelligence.
Predictive analytics allows your business to gather crucial insights from data, which helps you transition from making intuitive gut-driven to informed data-driven decisions. By analyzing the past, it enables you to predict what’s next.
Through our predictive analytics service, we collect your data from all possible sources and use the science of probability to turn it into business intelligence. To help you better understand the trends of your business, we contextualize each data point (a product SKU, a vehicle, a customer, etc) to a wider dataset, apply statistical modeling methods designed to predict future outcomes, and present findings to your business leaders for decision making.
A predictive analytics service cost depends on size and scope of the project which can be determined during our free workshop session that identifies your organization’s challenges.
Predictive analytics can help answer a variety of questions, in any sphere of business. For marketing – Which user is most likely to become a customer? Which customer is going make a repeat purchase? For healthcare – Which patients are most likely to require post-discharge care? For retail – Which products should be stocked to meet demand? For finance – What is the probability of a customer not paying a loan?
Data engineering is the process of transforming data into a useful format for analysis. It turns a company’s big data pipeline into robust systems ready for business analytics.
Data engineering can speed up the process of accessing valuable insights from your organization’s data. It helps you make sense of unstructured data so that you can focus on making decisions that drive business forward.
A data engineering service takes care of storing, organizing and processing your data.
After conducting an in-depth workshop to understand your most immediate pains and needs, our team will create a Data Engineering roadmap. This roadmap will describe each stage of the engagement so that your organization can follow along with the progress.
Our team of experts then gets to work and provides detailed status updates during different touchpoints in the process.
If your team is struggling to store or process data, now is the time to start a data engineering project. Our qualified team of data engineers can help bring structure to your data as well as apply shape and optimize data for reports and visualizations.
A data engineering service cost depends on size and scope of the project which can be determined during our free workshop session that identifies your organization’s challenges.
BI (Business Intelligence) is the practice of using various applications and tools to collect internal and external data, preparing that data for analysis and then creating reports via data visualization platforms. BI reporting allows decision makers to easily access the generate data and analyze the reports for educated decisions.
Defining which KPIs to measure will vastly depend on the industry your organization is in. It will also depend on the organizational goals at specific moment in time. Is it customer churn? (for marketing). Is it gross profit margin? (for finance). Is it inventory turnover? (for healthcare).
Your organization should have identified roughly 7 to 10 KPIs to focus on that will improve business performance. The Syntelli BI Reporting service can provide aid in identifying the KPIs that will have the most impact for your organization and present it in a report or data visualization for easy access.
The industry is moving towards self-service reporting and BI where users can create their own customized reports without going through an IT lifecycle development. Some of the best tools for faster BI reporting & data visualization include Spotfire, Tableau, PowerBI and Qlikview. You can learn more about each of the tools here.
Some of the best BI and data visualization tools include Spotfire, Tableau, PowerBI and Qlikview. You can learn more about each of the tools here.
After completing an initial discovery workshop to identify your specific needs, our team of experts will work closely with you to create reports and data visualizations that will track the right KPIs in real time.
Data Science uses a multidisciplinary and integrated approach to holistically solve business problems by extracting knowledge from data. It is a blend of technology, statistics and business strategy, used to help answer complex questions.
Data Science uses a multidisciplinary and integrated approach to holistically solve business problems by extracting knowledge from data. It is a blend of technology, statistics and business strategy, used to help answer complex questions.
Data Science uses a multidisciplinary and integrated approach to holistically solve business problems by extracting knowledge from data. It is a blend of technology, statistics and business strategy, used to help answer complex questions.
Data Science uses a multidisciplinary and integrated approach to holistically solve business problems by extracting knowledge from data. It is a blend of technology, statistics and business strategy, used to help answer complex questions.
Data Science uses a multidisciplinary and integrated approach to holistically solve business problems by extracting knowledge from data. It is a blend of technology, statistics and business strategy, used to help answer complex questions.
Data Science uses a multidisciplinary and integrated approach to holistically solve business problems by extracting knowledge from data. It is a blend of technology, statistics and business strategy, used to help answer complex questions.
Data Science uses a multidisciplinary and integrated approach to holistically solve business problems by extracting knowledge from data. It is a blend of technology, statistics and business strategy, used to help answer complex questions.
Data Science uses a multidisciplinary and integrated approach to holistically solve business problems by extracting knowledge from data. It is a blend of technology, statistics and business strategy, used to help answer complex questions.
