By now, those who practice in data-related fields have bombarded you with a ton of information about the need for clean data. We "get it" and so do you. So, let's now talk about stable architectures that store that clean data and allow your organization lots of room for 1) growth in data volume and scalability and 2) visual analytics, advanced analytics and data science. No two organizations, independent of size, share the same make-up of analytics needs, or technical tools to address them. One key to ensuring these needs are addressed most efficiently is to have a foundation of data architecture that will give visual analytics practitioners, BI developers, data scientists, (and host of other data consumers) the ability to use the data efficiently and with minimal need for changing the underlying architecture.
Development of Relational databases, Data Warehouses, and Data Marts, as well as management of Data Lakes are well within our wheelhouse of capabilities. We can engage in building these frameworks and have the skills to work seamlessly with Project Managers, BI Leads, BI Developers, ETL Developers (just to name a few) to acquire functional requirements and translate them into data requirements used to build associated data models.
While we could ramble on about Data Design, Data Storage, Data Security, instead we will simply state that our ultimate goal is to allow your organization the ability to grow your Business Intelligence & Analytics capabilities at minimal cost due (in part) to well-design data architectures..
Business Intelligence decisions are moving from the boardroom to the front lines. Business Intelligence decisions are impacting more and more decisions – especially on the front lines, according to Boris Evelson, a Forrester Research analyst. The reason for this, as stated in a recent article, is that operational BI is moving toward the front lines with “offerings that integrate data and process dashboards” as well as “event-driven systems that initiate a business process based on certain data conditions.” BI is moving toward a self-service delivery model. Instead of just dashboards and reporting – users can pull reports and mine data to make better decisions. These reports are being used to predict trends and make decisions. Streamlining data with BI tools can help make this possible. |
In a broad sense, BI business value can be seen as a matter of determining how an organization can use BI to: Improve management processes - such as planning,controlling, measuring, monitoring, and/or changing - so that management can increase revenues, reduce costs, or both. Improve operational processes such as fraud detection, sales campaign execution, customer order processing, purchasing, and/or accounts payable processing so that the business can increase revenues,reduce costs or both. |
Intellicient™
137 N. Larchmont Blvd., #679
Los Angeles, CA 90004, USA
+1 713.936.3761 direct
e: info@intellicient.com
Smart is great, Intellicient™ is better. Smart is capturing your data, moving it, and successfully managing data flow. Creating strong data structures, executing efficient processes, and delivering organizational-fit solutions is not only smart it's Intellicient™. Keep your smarts by staying intellicient™.
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