We can help you improve and track the reputation of your business and find out how people perceive your brand
Solutions with strategy lead to communication with context. Analyzing and researching on consumer insight, we elevate your business.
Crafting creative approaches, detailing defines us. We’re solution-oriented and take into account multifaceted approaches in our final execution.
Taking the brand forward we give it a carefully crafted personality, deciding the language it speaks as well as the way it dresses
Our wings of creativity take us across cultures, engaging your brand values and stories with people who matter.
We look into complete execution of the image. This entails all external representations including the environment the brand lives in.
Our wings of creativity take us across cultures, engaging your brand values and stories with people who matter.
We look into complete execution of the image. This entails all external representations including the environment the brand lives in.
Data is like people – interrogate it hard enough and it will tell you whatever you want to hear.
Data science is the study of data. It involves developing methods of recording, storing, and analyzing data to effectively and extracting useful information from data. The main objective of data science is to gain insights and knowledge from any type of data, it may be structured data and unstructured data.
Transforming data into information
Analyzing data to get insights
Identifying trends, patterns, and correlations
Contextualizing applying and understanding data
We offer Data Science Solutions, Data Science Projects. Digital insights-driven business models are the truth of the customer-centric economy. The possibilities and opportunities hidden away in the tremendous amount of data originating from social media, beacons, IoT devices, smartphones, web clickstream, and hundreds of other sources are simply enormous. However, it is becoming more and more difficult for organizations to derive actionable insights from the strings of 0s and 1s.
Traditional analytical methods are growing obsolete at an unprecedented pace in the rapidly evolving digital business landscape. Technologies like artificial intelligence, real-time data ingestion, cognitive computing, predictive analytics solutions, and natural language processing are already reinventing the way businesses utilize data to glean actionable insights.
We follow a ten-step methodology for delivering Data Science solution Services. The seven-step process includes the following deliverables based on your requirement.
Before solving any problem in Business we must understand the problem properly. We understand your business and follow Brainstorming for problem-solving.
Based on the above business understanding we will follow 4 steps. The approaches can be of 4 types: Descriptive approach, Diagnostic approach, Predictive approach, and Prescriptive approach.
The above chosen analytical method indicates the required data content, formats, and sources to be gathered.
Data collected are often obtained in any random format. We understand business according to requirements and for problem-solving we will gather data.
Understanding data is a very important step in data science methods. after collecting data we should take accurate and remove unnecessary data which is not useful for business. Here content (data) and quality matter.
In Data Preparation, we should take Accurate data, which is useful for business and problem-solving. Data Preparation is very vital in Data Science Methodology.
Modeling decides whether the info prepared for processing is acceptable or requires more finishing and seasoning. This phase focusses on the building of predictive or descriptive models.
Here we evaluate the above steps, Model evaluation is completed during model development. It checks for the standard of the model to be assessed and also if it meets the business requirements.
As the model is effectively evaluated it’s done for deployment within the business market. The deployment phase checks what proportion the model can withstand the external environment and perform superiorly as compared to others.
Feedback is that the necessary purpose which helps in refining the model and accessing its performance and impact. Steps involved in feedback define the review process, track the record, measure effectiveness and review with refining.
1190 Miraloma Way Suite P Sunnyvale, CA 94085,
46/4, Hosur Rd, Kudlu Gate, Krishna Reddy Industrial Area, H.S, R Extension, Bengaluru, Karnataka 560068
info@touttech.com
1 281 886 8778