The Golden Parameters of Monitoring
Ariel Pisetzky, VP Information Technology, Taboola
At the core of the overflow of alerts, lay core business truths. Unfortunately, businesses operating in the cloud are overwhelmed by the alerts and are not refining this critical information to make informed business decisions. In fact, companies should be distilling the alerts to a point where the most important ones reach a top 10 dashboard.
All business & monitoring needs should be consolidated into one screen. Otherwise, the most important information becomes overwhelming and unusable.
Operational Aspects of Big Data
Yoav Chernobroda, CTO, Mythings
What does it mean to be overwhelmed by big data and what are the business implications?
Big Data refers to the idea that companies can extract value from collecting, processing and analyzing vast quantities of data.
The era of Big Data is upon us and the Big Data problem for business is one of linking up their disparate data silos with customer feedback data in order to identify the correlates of customer satisfaction and loyalty. Businesses who can get a better handle on these data will be more likely to outperform their competitors who do not.
Unfortunately, most companies face a complex challenge with big data.
A major hurdle in solving this problem involves applying appropriate data federation and aggregation methods across the different data silos.
Big data should serve as enabler for operational, business intelligence, predictive modeling and real time decision making. While big data should be an enabler, it poses some primary challenges including business value, quality of the data, organizational roles, culture, operational & infrastructure.
By linking up these data sources, companies will be able to ask and answer bigger customer experience questions, embed the importance of the customer across different organizations/departments and provide the use of both subjective and objective metrics of customer loyalty.