
Emtech Computer Co LLC

DAMVAD Analytics

In many organizations, analysis is too simple to generate real value It is often based on business intelligence, that does not really tell you what to do and why It is a reactive monitoring approach, and the methodologies applied are not advanced enough to generate valid answers
Our approach enables you to understand what happened; why it happened; and what will happen, all from applying sophisticated, predictive analytics We apply econometrics, machine learning as well as other statistical methods, and assist you in finding answers to proceed with confidence and insights which will be valuable in both external and internal processes We give you the tools you need to answer the question about which course of action you should take in order to fulfil your organizational goals And which predictive KPIs to monitor if you want to know whether or not you are moving in the right direction
Rather than building a direction on existing beliefs and assumptions, we help executives gain a clear, evidence-based perspective on the world they interact in, and the impact of their activities Furthermore, we set direction by forcing the executives to determine the causal chain assumptions and define which data driven indicators should define success We call this data supported causal effect Based on our analytics we help you determine which steps to take in order to obtain the desired results For organisations working in a political environment, we assist you in handling stakeholders and making sure that the data and results are applicable in a political setting
In many organizations large amounts of data are available, but never used to its full potential Insufficient data quality and lack of advanced data processes contribute negatively to your organizations success We help you understand your data and ensure that it generates value This includes identifying external data – private, public or open data – that can enrich your data, testing the validity of data and aligning data Your data should be structured to support the insights needed to define predictive analytics and make relevant forecasts
Data collection and preparation is crucial in developing a data driven business model and maximizing the benefits relevant to your strategy To generate value, it is imperative to be able to collect data, prepare it and merge it with other relevant data We collect and prepare structured and unstructured data by applying the most advanced quantitative techniques (such as NLP, machine learning, elastic search etc ) and qualitative techniques (such as observation studies, field studies, sociology and ethnography) We also create and update our own historical databases collected from public registries, open data sources, sensors, social media data, etc
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