Examples of using Poor data in English and their translations into Indonesian
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Ecclesiastic
Poor data storage also holds us back.
It fared better on the euro, which was undermined by a run of poor data out of Europe.
Poor data quality, governance and control.
Most business and IT professionals would agree that poor data quality results in negative business outcomes.
Poor data management is one of those obstacles.
You can download the movies directly on your device andenjoy them offline during poor data connectivity.
So, we are poor data taking devices, that's why we have such a thing as science.
Gartner research found that the average financial impact of poor data quality is $9.7 million per year.
But the hidden cost of poor data management may be greater than the 12 percent lost revenue.
As a result,our dependence on systems and our vulnerability to system errors and poor data quality have increased.
Poor data weighs on the pound towards the elections and central banks weigh on the kiwi and the Aussie.
However, one of the downsides of this huge production is poor data quality causing yearly losses estimated to $3.1 trillion in the US alone.
Poor data quality is a common barrier to accurate reporting and informed decision making.
Research firm Gartner has found that the average cost of poor data quality on businesses amounts to anywhere between $9.7 million and $14.2 million annually.
Poor data gathering can lead to incorrect assumptions about the facts, which derails confrontation.
The Data Warehousing Institute estimates that companies losemore than $600 billion every year thanks to poor data.
The cost of poor data governance can be acute over time in terms of inefficiency, resource load and profit.
The actual fact is, the various search engines additionally have in mind the topic materials of the web website the place your hyperlinks are pointing,so poor data will not get you outcomes.
Poor data quality can lead to unfortunate business decisions, unattainable sales forecasts and lost deals.
Now with advanced Predictive and Prescriptive Analytics tools available in the hands of ordinary business users, a lot can happen on the analytics side,but it is not happening because of the poor Data Quality.
Beyond that, the study flings into light the poor data backing current opioid prescription practices and the dwindling scenarios in which the dangerous drugs are firmly warranted.
When asked why they do not receive comprehensive data, CEOs point to the‘lack of analytical talent'(54%), followed by‘data siloing'(51%),and‘poor data reliability'(50%) as the primary reasons.
For example, a poor data box would be Go to the great web site of the king of search engine optimisers, who will often update you with wonderful ideas and priceless suggestions 3 times a week.
Consolidating data into a DWH can help ensure consistency andcorrect poor data, but it also provides an accurate measure of data quality allowing it to be managed more pro-actively.
But whereas stable enterprise intelligence is crucial to making strategic enterprise decisions,many organizations struggle to implement effective BI methods, because of poor data practices, tactical errors and more.
In an interview with reporters on sidelines of the Atlanta Fed's conference on financial markets,Lockhart said the poor data in the first three months of the year"contributes to a situation of some ambiguity at the moment, but I do think this will pass.".
Many data warehouses started with rather grand“Enterprise Data Warehouse”(EDW)titles and ended up more as large data dumps delivering poor data quality, little data governance and limited flexibility.
However, the events of the week, from the aggravation of the US-China trade war andthe upcoming elections to the European Parliament to the statements by the Fed leadership and poor data on business activity in Germany and the Eurozone, played into the hands of the dollar.
Not only does this give business users insight into the quality of the data before it is loaded into the warehouse,it also allows IT a sort of security checkpoint to prevent poor data from corrupting the warehouse and causing additional outages and challenges.