In April this year, we announced that Qlik had successfully achieved Google Cloud Ready – BigQuery Designation for its Qlik Sense® cloud analytics solution and Qlik Data Integration®. We continue increasing customer confidence by combining multiple Qlik solutions alongside Google Cloud BigQuery to both help activate SAP data, and now mainframe data as well.

You’ve likely been hearing different versions of the same idea now for a while. Enterprises in every industry are investing in technology and strategies to drive more value from all their data across their entire organization.

Switching to a modern ERP software system affords many benefits, including increased efficiency, improved accuracy, and better control over your company’s finances. It is also an excellent opportunity to revisit many of the business processes that sit outside of your core ERP system. As you set out to improve your financial and operational procedures, you have an opportunity to rethink the way you perform tax planning, transfer pricing, budgeting, reporting, and analytics.

In many organizations, transfer pricing adjustments are like a lot of other last-minute activities. They seem to be ignored throughout most of the annual cycle. Then, they suddenly take on a great importance at year-end. That leaves the tax team scrambling to address an entire year’s worth of transactions. It also leads to interdepartmental friction in many cases. If transfer pricing is changed retroactively for the entire year, that can have far-reaching implications.

A recent VentureBeat article , “4 AI trends: It’s all about scale in 2022 (so far),” highlighted the importance of scalability. I recommend you read the entire piece, but to me the key takeaway – AI at scale isn’t magic, it’s data – is reminiscent of the 1992 presidential election, when political consultant James Carville succinctly summarized the key to winning – “it’s the economy”.