There is a prediction that by 2017, 33% of Fortune 100 companies will experience information crises due to lack of adequate testing measures. To prevent this, the robust testing approach must be used. Developing a well-planned data warehousing, testing process will help in minimizing such risks. And while moving to agile, we can do more testing in comparison to traditional projects. The testing being done during development in parallel aids to agile development, because development and testing can be completed in a single sprint. The roadmap for building agile data warehouse will consist of following steps-

·         Build business conceptual model

·         Grass roots Data governance

·         High-level architecture with repeatable design patterns

·         Strong testing tools

·         Robust data quality program

·          Self-managing teams.

Read the full article here http://www.cio.com/article/3012097/data-warehousing/take-testing-seriously.html

With the analytics boom, businesses are treading the data-driven path. But organizations should realize that not every data is useful- one needs to sift through a huge amount of data to find out the useful ones. Often having a large database doesn't indicate a successful data program, instead it implies a program requiring considerable amount of work. The problem with a large database is that the data does not possess a reasonable degree of accuracy hence making it difficult to make accurate business analysis. Knowing more about the data- what it is and what it represents- will enable companies to filter, categorize and analyze data. Cleaning up data isn't something that can be easily achieved through technology. Data gathering system should be developed keeping in mind what data is being collected and why it is being collected. Read more at: https://channels.theinnovationenterprise.com/articles/your-data-is-garbage

Financial managers find it very difficult to reconcile goods received against invoices not received. This issues called 'GR-NI' is time consuming to manage. The problem hence gets reduced to lowest of the priorities and leads to increase of financial liabilities and risk for the business. Without proper automation to monitor the discrepancies, paperwork gets piled up which leads to supplier connections suffering and credits being misused. However, with software based supplier reconciliation process in place, the organization can get rid of this huge task and also improve its audit processes solving several risk issues as they arise. A simple overview of the new 'GR-NI' process says that creation of a database with financial and orders data is to be integrated followed by different other steps. The key elements of this solution are methods to get statements directly into the system regardless of format and source and many others. To maximize the value, operational areas should be looked into that can benefit from better processes. Read more at: http://www.smartdatacollective.com/keith-peterson/329860/using-procurement-analytics-simplify-your-supplier-reconciliation

Don't ignore your supply chain risks if you love your profits, that's the advice Keith Peterson, president and CEO of Halo, is giving in his article. He talks about:

• Various supply chain risks
• The department they affect
• Its financial impacts
• Finally! Solution. 

Solution to all the problems these days is in analytics. Right software and analytics programme will increase your profit generating abilities to multiple folds. Intrigued? Follow the link at:http://smartdatacollective.com/keith-peterson/322401/solving-supply-chain-risks-infographic