Smart homes, the Internet of Things, social media, mobile applications, and other technologies are generating an unprecedented amount of multistructured data. This "big data" has the potential to transform businesses and industries and to unlock tremendous value. It transforms how companies organize themselves, decide which technologies to use, and build ecosystems of partners and vendors. The time has come to value data as a strategic asset that can help you win.
Terms such as Machine Learning, Analytics and Big Data have become a part of the commonly used language of the Advanced Data Analysis field, or Analytics in short. This field has received attention and acknowledgment in recent years and become recognized as a valuable asset for every organization in any sector.
Analytics have changed the way we approach data in organizations. In the past, organizational information was replicated and transformed to match a format of the organization’s database. In order to access and analyze that information users created queries, however, not all organizational data could be processed that way since the database only worked with structured data.
Nowadays, we know that the numbers and types of data sources available to us are enormous, and we must take the internal and external information into consideration in order to get the full picture.
The Data & Analytics practice provides holistic solutions by collecting ALL available data and directing it towards interesting issues by raising anomalies and trends in the data.
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