With large volumes of data stored across a number of devices and systems, organizations often struggle to extract, consolidate and analyze its data in a quick and efficient manner. Every business today is continually accumulating new data – emails, customer records, sales transactions, inventories, employee data, social media and other content. The company should exploiting its maximum potential, and utilize the golden opportunities to drive business further.

Current enterprise data warehouses are choking from the weight of new structured and unstructured data sources. In response to this, Our data warehouse modernization solutions help to extend and enhance your data warehouse infrastructure in a complementary way.

According to Forrester Report, The next-generation Enterprise Data Warehouse is the Big Data .

Advanced Analytics

At JUKE SOLUSI TEKNOLOGI, we address big data analytics using advanced analytic techniques that are most conductive to operating on big data as well as addressing the analytics platform required. Advanced analytics requires a collection of techniques and tool types, including predictive analytics, data mining, statistical analysis, complex SQL, data visualization, artificial intelligence, natural language processing, and database methods that support analytics.

Most of our clients can relate to the use of advanced analytic tools where they create analytic models or fashion complex queries; or exploit database management systems where analytic big data is effectively managed and operated on. However, we have found that the key is often found through consideration of the correctly sized hardware platform that is required to resolve the issues. We focus on all aspects of the issue and provide recommendations after thorough analysis and design.

Enterprise Data Warehouse

JUKE SOLUSI TEKNOLOGI facilitates the attainment of the best Enterprise Data Warehouse (EDW) database design appropriate to the selected tools, organizational commitments and projected growth in data volume and complexity.

We recognize the need to re-structure traditional Data Warehouse for analytic database purposes, data warehouse appliances, columnar databases, no-SQL databases, distributed file systems, and other designs. We recommend the implementation of cloud solutions, SaaS, analytic data marts, OLAP tools, etc. as options to realize the greatest gain in advanced analytics, predictive analytics, data mining, and statistical analysis.

Business Intelligence

JUKE SOLUSI TEKNOLOGI assists in expanding prior Business Intelligence tools using OLAP and reporting to more robust solutions incorporating Advanced Data Visualization (ADV) to handle diverse data types.

We then present analytic data structures that are not accommodated by flat computer screens (such as hierarchies and neural nets). Analytic data also requires us to focus our support on your governance, privacy, and security issues that abound, as well as similar issues with other enterprise data you maintain.